<p><strong>Our client, a leading oil and gas company, is embarking on a key cloud modernization initiative and seeks a Data Engineer experienced with Databricks in AWS environments. This is an opportunity to shape the data landscape for an established energy leader</strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead the implementation and integration of Databricks within AWS-based infrastructure</li><li>Design, build, and optimize scalable data pipelines for large, multi-source datasets</li><li>Collaborate with data architects, business analysts, and project managers to deliver analytics solutions aligned with business goals</li><li>Develop and maintain ETL processes, ensuring data quality and reliability across systems</li><li>Automate data workflows and enable advanced analytics for operations, production, and business intelligence</li><li>Support data governance best practices, security, and compliance within a highly regulated sector</li><li>Document solutions and provide guidance on infrastructure and platform best practices</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Houston, Texas, on a contract basis. In this position, you will leverage your expertise in data technologies to design, develop, and optimize data pipelines and systems that support business operations and decision-making processes. If you have a strong background in data engineering and enjoy working in the dynamic Oil & Gas field services industry, we encourage you to apply.<br><br>Responsibilities:<br>• Develop, implement, and maintain scalable data pipelines to support business needs.<br>• Utilize Apache Spark, Python, and other tools to process and analyze large datasets.<br>• Design and optimize Extract, Transform, Load (ETL) workflows for efficient data integration.<br>• Collaborate with cross-functional teams to gather requirements and ensure data solutions align with business goals.<br>• Manage and monitor data systems, ensuring reliability and performance.<br>• Implement data storage solutions using technologies like Apache Hadoop.<br>• Integrate real-time data streams using Apache Kafka.<br>• Troubleshoot and resolve issues related to data pipelines and systems.<br>• Ensure data security and compliance with industry standards.<br>• Provide documentation and training for data systems and processes.
<p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and own ETL/ELT pipelines—both batch and real‑time—using best-in-class tools and frameworks.</li><li>Architect and maintain scalable data platforms: data lakes, warehouses, and modern lakehouses.</li><li>Drive adoption of event-driven systems, ensuring schema evolution, idempotency, and end-to-end pipeline reliability.</li><li>Leverage AI-powered tooling and automation to optimize operations and reduce manual overhead.</li><li>Implement robust DataOps practices, including CI/CD, version control (Git), testing, and observability.</li><li>Collaborate with platform and AI teams to build AI‑ready, trustworthy data systems with lineage, governance, and cost-awareness.</li><li>Monitor and optimize performance and cost across cloud services</li></ul><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
<p>we are seeking a <strong>Data Engineer</strong> to join its growing data team in West LA. This role is perfect for someone early in their data engineering career who wants to work with modern data stacks, cloud technologies, and high-impact analytics projects in a collaborative, fast-paced environment.</p><p><br></p><p> <strong>Compensation:</strong> $100–130K + 5% bonus (flexible for strong candidates)</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll support the full data lifecycle—from ingesting and transforming raw data to building pipelines, reporting tools, and analytics infrastructure that empower teams across the business. You’ll work with Python, SQL, cloud platforms, ETL solutions, and visualization tools, contributing to the evolution of next-generation data systems supporting large-scale digital operations.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Build, maintain, and optimize ETL/ELT pipelines using tools such as Talend, SSIS, or Informatica</li><li>Work hands-on with cloud platforms (any cloud; GCP preferred) to support data workflows</li><li>Develop reports and dashboards using visualization tools (Looker, Tableau, Power BI, etc.)</li><li>Collaborate with product, analytics, and engineering teams to deliver reliable datasets and insights</li><li>Own data issues end-to-end — from collection and extraction to cleaning and validation</li><li>Support data architecture, pipeline resilience, and performance tuning</li><li>Assist in maintaining and scaling datasets, data models, and analytics environments</li><li>Contribute to real-time streaming initiatives (a plus)</li></ul><p><br></p>
<p>We are looking for an experienced Azure Data Engineer to join our team and play a key role in designing, building, and maintaining scalable data solutions. This position is responsible for developing robust data pipelines, optimizing data workflows, and leveraging the Microsoft Azure ecosystem to deliver high-quality, business-ready data.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, Synapse Analytics, and related Azure services.</li><li>Build and optimize data architectures (data lakes, data warehouses) to support analytics, reporting, and machine learning initiatives.</li><li>Collaborate with data analysts, scientists, and business stakeholders to gather requirements and deliver reliable data solutions.</li><li>Manage data security, privacy, and compliance in line with best practices and company policies.</li><li>Monitor, troubleshoot, and optimize data workflows to ensure scalable and efficient performance.</li><li>Document data schemas, data lineage, and engineering processes.</li><li>Stay up to date with advancements in the Azure platform and recommend new tools or methods to continuously improve our data infrastructure.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Cleveland, Ohio. This long-term contract position offers the opportunity to contribute to the development and optimization of data platforms, with a primary focus on Snowflake and Apache Airflow technologies. You will play a key role in ensuring efficient data management and processing to support critical business needs.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines using Snowflake and Apache Airflow.<br>• Collaborate with cross-functional teams to implement scalable data solutions.<br>• Optimize data processing workflows to ensure high performance and reliability.<br>• Monitor and troubleshoot issues within the Snowflake data platform.<br>• Develop ETL processes to support data integration and transformation.<br>• Work with tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data operations.<br>• Implement robust data warehousing strategies to support business intelligence initiatives.<br>• Analyze and resolve data-related technical challenges promptly.<br>• Provide support and guidance during Snowflake deployments across subsidiaries.<br>• Document processes and ensure best practices for data engineering are followed.
<p><strong>Description of Position</strong></p><p> The Data Engineer builds and maintains data pipelines, integrations, and analytical datasets that support reporting, operations, and advanced analytics. This role focuses on data ingestion, transformation, and modeling across cloud and enterprise data platforms.</p><p>The position works closely with analytics, engineering, and business teams to ensure data accuracy, availability, and performance.</p>
<p>The Data Engineer will play a key role in supporting enterprise analytics, reporting, and operational data needs. This position focuses on building, maintaining, and optimizing SQL-based data pipelines that feed dashboards, reports, and downstream systems. You’ll work closely with analytics, finance, and operations teams to improve data quality, performance, and availability, and help standardize how data is consumed across the organization.</p>
<p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Calabasas, CA (Fully Remote if outside 50 miles)</p><p> <strong>Compensation:</strong> $140K–$160K </p><p> <strong>Reports to:</strong> Director of Data Engineering</p><p>Our entertainment client is seeking a <strong>Senior Data Engineer</strong> to design, build, and optimize enterprise data pipelines and cloud infrastructure. This hands-on role focuses on implementing scalable data architectures, developing automation, and driving modern data engineering best practices across the company.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and maintain ELT/ETL pipelines in Snowflake, Databricks, and AWS.</li><li>Build and orchestrate workflows using Python, SQL, Airflow, and dbt.</li><li>Implement medallion/lakehouse architectures and event-driven pipelines.</li><li>Manage AWS services (Lambda, EC2, S3, Glue) and infrastructure-as-code (Terraform).</li><li>Optimize data performance, quality, and governance across systems.</li></ul><p>For immediate consideration, direct message Reid Gormly on Linkedin and Apply Now!</p>
We are looking for a skilled Data Engineer to join our team on a contract basis in Roseville, Minnesota. In this role, you will be responsible for designing and implementing efficient data pipelines, ensuring seamless data processing and integration to support organizational goals. The ideal candidate will have expertise in Python programming, AWS services, and data transformation techniques.<br><br>Responsibilities:<br>• Develop and maintain efficient data pipelines for extraction, transformation, and storage.<br>• Create and manage APIs to facilitate seamless data access and integration across systems.<br>• Utilize AWS tools such as Lambda and S3 to design and implement scalable solutions.<br>• Perform data cleansing and transformation to ensure accuracy and usability for analytics.<br>• Write Python scripts to automate data extraction and processing workflows.<br>• Collaborate with various teams to gather data requirements and deliver tailored solutions.<br>• Maintain data quality and ensure compliance with security standards and organizational policies.<br>• Optimize data processes for performance and scalability.<br>• Provide technical guidance and support for data-related projects.
We are looking for an experienced Data Engineer to join our team in Raleigh, North Carolina. In this position, you will play a pivotal role in designing, developing, and managing data solutions that support organizational decision-making. The ideal candidate will have a strong background in data engineering and a desire to grow into Data Architecture responsibilities.<br><br>Responsibilities:<br>• Design and implement data pipelines to extract sales data and integrate it into Snowflake using Snowpipe.<br>• Collaborate with executive leadership and vendors to ensure data solutions align with business objectives.<br>• Develop and maintain APIs to connect various systems and streamline data flow.<br>• Optimize data security and access controls within Snowflake, ensuring compliance with organizational standards.<br>• Participate in data modeling updates, focusing on improving principles, solutions, and methodologies.<br>• Work closely with a small team of data analysts, engineers, and managers to address diverse engineering challenges.<br>• Monitor and enhance data pipeline performance through testing, governance, and continuous delivery.<br>• Provide input on enterprise data architecture strategies, including logical, conceptual, and physical data models.
We are looking for an experienced Data Engineer to join our team on a contract basis in Broomfield, Colorado. This position is focused on leveraging advanced tools and methodologies to optimize data workflows and systems within an apparel manufacturing environment. The ideal candidate will bring deep expertise in Astronomer, Airflow, and related technologies, ensuring efficient data orchestration and transformation processes.<br><br>Responsibilities:<br>• Optimize and deploy Astronomer workflows, ensuring best practices for storage, synchronization, and execution.<br>• Transfer data from Databricks into Astronomer and upgrade to the latest version of Astronomer.<br>• Design and implement decoupled architectures using Airflow to streamline transformation logic.<br>• Customize orchestration settings in Astronomer to enhance flow efficiency and scalability.<br>• Address challenges associated with Cosmos by managing complex DAGs and automating tasks where possible.<br>• Configure advanced Airflow settings to support seamless project execution and upgrades.<br>• Collaborate with cross-functional teams to ensure data workflows align with organizational objectives.<br>• Utilize Astronomer as a primary tool for orchestrating, deploying, and executing data pipelines.<br>• Provide expertise in Airflow 2 and prepare for future upgrades to Airflow 3.<br>• Troubleshoot and resolve issues within data workflows and systems in a timely manner.
<p>The Data Engineer will design, build, and maintain scalable data pipelines that support analytics and reporting needs. This role focuses on data ingestion, transformation, and cloud-based architecture.</p>
<p>We are looking for an experienced Senior Data Engineer to join our team. This role involves designing and implementing scalable data solutions, optimizing data workflows, and driving innovation in data architecture. The ideal candidate will possess strong leadership qualities and a passion for problem-solving in a fast-paced, cutting-edge environment.</p><p><br></p><p>Responsibilities:</p><p>• Develop high-performance data systems, including databases, APIs, and data integration pipelines, to support scalable solutions.</p><p>• Design and implement metadata-driven architectures and automate deployment processes using infrastructure-as-code principles.</p><p>• Promote best practices in software engineering, such as code reviews, testing, and continuous integration/delivery (CI/CD).</p><p>• Establish and maintain a robust data governance framework to ensure compliance and data integrity.</p><p>• Monitor processes and implement improvements, including query optimization, code refactoring, and efficiency enhancements.</p><p>• Leverage cloud platforms, particularly Azure and Databricks, to improve system architecture and scalability.</p><p>• Conduct data quality checks and build procedures to address and resolve data issues effectively.</p><p>• Create and maintain documentation for data architecture, standards, and best practices.</p><p>• Provide technical leadership to the team, guiding design discussions and fostering innovation in data infrastructure.</p><p>• Identify and implement opportunities for process optimization and automation to improve operational efficiency.</p>
We are looking for a skilled Data Engineer to join our team in Seguin, Texas. In this role, you will focus on designing, implementing, and optimizing data solutions that drive business decisions and innovation. Your expertise will be crucial in developing scalable systems, ensuring data quality, and collaborating with cross-functional teams to create impactful strategies.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to integrate various sources into the organization’s data systems.<br>• Design and maintain data models and schemas across diverse environments, ensuring alignment with company standards.<br>• Simplify data architecture by creating reusable services and identifying cost-saving opportunities.<br>• Optimize data workflows for enhanced performance, reliability, and cost efficiency.<br>• Define and execute long-term technology strategies, incorporating innovations in analytics and data platforms.<br>• Ensure data quality by establishing and managing standards, guidelines, and processes.<br>• Perform database installation, configuration, and maintenance to support high-performance environments.<br>• Conduct proactive monitoring and optimization of database queries and indexes.<br>• Implement robust backup, recovery, and disaster recovery plans for database systems.<br>• Collaborate with stakeholders to translate business requirements into effective data models and solutions.
<p>Robert Half is hiring a highly skilled and innovative Intelligent Automation Engineer to design, develop, and deploy advanced automation solutions using Microsoft Power Automate, Python, and AI technologies. This role is ideal for a hands-on technologist passionate about streamlining business processes, integrating systems, and applying cutting-edge AI to drive intelligent decision-making. This role is a hybrid position based in Philadelphia. For consideration, please apply directly. </p><p><br></p><p>Key Responsibilities</p><ul><li>Design and implement end-to-end automation workflows using Microsoft Power Automate (Cloud & Desktop).</li><li>Develop Python scripts and APIs to support automation, system integration, and data pipeline management.</li><li>Integrate Power Automate with Azure services (Logic Apps, Functions, AI Services, App Insights) and enterprise platforms such as SharePoint, Dynamics 365, and Microsoft Teams.</li><li>Apply Generative AI, LLMs, and Conversational AI to enhance automation with intelligent, context-aware interactions.</li><li>Leverage Agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Function Calling) to build dynamic, adaptive automation solutions.</li></ul>
<p>About the Role</p><p>Our client is seeking an AI Data Engineer to design, build, and optimize data and AI pipelines within a modern Azure Databricks Lakehouse environment. This role sits at the intersection of data engineering, machine learning enablement, and cloud‑scale analytics, supporting advanced AI initiatives across the organization.</p><p>You will work closely with data scientists, ML engineers, and business stakeholders to deliver high‑quality data products, feature pipelines, and production‑ready AI workflows that power predictive analytics, generative AI, and operational intelligence</p><p><br></p><p>Key Responsibilities</p><ul><li>Design and build scalable data pipelines using Azure Databricks, Spark, and Delta Lake</li><li>Develop and optimize ETL/ELT workflows across Azure Data Lake Storage</li><li>Implement AI‑ready data architectures including feature stores and vector stores</li><li>Productionize ML and generative AI models using MLflow and Databricks Model Serving</li><li>Create and maintain medallion architecture for analytics and AI workloads</li><li>Develop SQL and PySpark transformations for large‑scale datasets</li><li>Integrate Azure services such as Data Factory, Event Hub, and Functions</li><li>Ensure data governance and security using Unity Catalog and RBAC</li><li>Monitor and optimize Databricks clusters for cost and performance</li><li>Support CI/CD automation using Azure DevOps</li></ul><p><br></p>
<p>Quick moving contract to perm opening with hybrid in-office plus remote type schedule. Expectations would be in our client's Tampa office 2 to 3 days per week in mentoring Jr Data Engineer </p><p><br></p><p>If applying, please make sure you have at least 5 years experience in Power BI, ETL Development, Snowflake and Azure. If you have Sigma reporting that will be a huge plus as our client is going that direction with their reporting initiatives. Healthcare background also a strong preference to understand our client technical work flows. </p><p><br></p><p>We are seeking an experienced Senior Data Engineer with 5+ years of hands-on experience to join our dynamic Data Engineering team. In this role, you will design, build, and optimize scalable data pipelines and analytics solutions in a fast-paced healthcare environment. You will play a pivotal role in enabling real-time insights for healthcare stakeholders, ensuring data integrity, compliance with HIPAA and other regulations, and seamless integration across multi-cloud ecosystems.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>Architect and implement end-to-end ETL/ELT pipelines using Azure Data Factory, Snowflake, and other tools to ingest, transform, and load healthcare data (e.g., EHR, claims, patient demographics) from diverse sources.</p><p>Design and maintain scalable data warehouses in Snowflake, optimizing for performance, cost, and healthcare-specific querying needs.</p><p>Develop interactive dashboards and reports in Power BI to visualize key healthcare metrics, such as patient outcomes, readmission rates, and resource utilization.</p><p>Collaborate with cross-functional teams (data scientists, analysts, clinicians) to translate business requirements into robust data solutions compliant with HIPAA, GDPR, and HITRUST standards.</p><p>Lead data modeling efforts, including dimensional modeling for healthcare datasets, ensuring data quality, governance, and lineage.</p><p>Integrate Azure services (e.g., Synapse Analytics, Databricks, Blob Storage) to build secure, high-availability data platforms.</p><p>Mentor junior engineers, conduct code reviews, and drive best practices in CI/CD pipelines for data engineering workflows.</p><p>Troubleshoot and optimize data pipelines for performance in high-volume healthcare environments (e.g., processing millions of claims daily).</p><p>Stay ahead of industry trends in healthcare data analytics and contribute to strategic initiatives like AI/ML integration for predictive care models.</p><p><br></p><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to join our team in San Antonio, Texas. This role offers an opportunity to design, develop, and optimize data solutions that support business operations and strategic decision-making. The ideal candidate will possess a strong technical background, excellent problem-solving skills, and the ability to collaborate effectively across departments.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines using Azure Synapse Analytics, Microsoft Fabric, and Azure Data Factory.<br>• Implement advanced data modeling techniques and design scalable BI solutions that align with business objectives.<br>• Create and maintain dashboards and reports using Power BI, ensuring data accuracy and usability.<br>• Integrate data from various sources, including APIs and Dataverse, into Azure Data Lake Storage Gen2.<br>• Utilize tools like Delta Lake and Parquet to manage and structure data within a lakehouse architecture.<br>• Define and implement BI governance frameworks to ensure consistent data standards and practices.<br>• Collaborate with cross-functional teams such as Operations, Sales, Engineering, and Accounting to gather requirements and deliver actionable insights.<br>• Troubleshoot, document, and resolve data issues independently while driving continuous improvement initiatives.<br>• Lead or contribute to Agile/Scrum-based projects to deliver high-quality data solutions within deadlines.<br>• Stay updated on emerging technologies and trends to enhance data engineering practices.
We are looking for a skilled Engineer to develop and enhance software solutions that address complex challenges in the real estate and property industry. This long-term contract position involves designing, coding, testing, and maintaining scalable and secure software systems. Based in Minneapolis, Minnesota, this role offers an opportunity to contribute to impactful engineering projects while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Design and implement software solutions that align with customer needs and organizational goals.<br>• Develop, test, debug, and document code to ensure reliability and performance.<br>• Collaborate with team members to solve technical challenges and remove roadblocks.<br>• Apply knowledge of frameworks and systems design to create stable and scalable software.<br>• Participate in product planning and provide input on technical strategies and solutions.<br>• Troubleshoot and analyze complex issues to identify and resolve defects.<br>• Mentor developers who are early in their careers and provide technical guidance to the team.<br>• Explore and adopt new technologies to enhance product performance and lifecycle.<br>• Contribute to DevOps processes, including support rotations and subsystem knowledge-building.<br>• Assist in recruiting efforts by participating in interviews and evaluating potential team members.
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for an experienced Senior Data Engineer with expertise in Databricks and the Adobe Experience Platform (AEP) to join our team on a long-term contract basis. In this role, you will design, implement, and optimize data solutions that support diverse business domains, leveraging advanced technologies such as Databricks, Azure cloud tools, and AEP. Based in Woodland Hills, California, this position offers the opportunity to collaborate with cross-functional teams and play a pivotal role in transforming data strategies to drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement scalable data pipelines to support integrations with Adobe Experience Platform and Databricks.</p><p>• Design data architecture solutions that ensure quality, reliability, and consistency across all data flows.</p><p>• Collaborate with business stakeholders and IT teams to deliver technical solutions aligned with organizational objectives.</p><p>• Optimize data workflows for improved performance and reduced latency in Databricks and Adobe environments.</p><p>• Monitor and troubleshoot issues within data pipelines to ensure seamless operations.</p><p>• Create and maintain comprehensive documentation for data architectures, integration processes, and workflows.</p><p>• Partner with analysts and stakeholders to gather requirements and deliver effective data solutions.</p><p>• Provide training and guidance on best practices for Databricks and Adobe data processes.</p><p>• Ensure the efficient use of Azure Synapse Analytics, Azure Data Factory, and related technologies in data integration projects.</p><p>• Drive continuous improvements in data strategies to support business growth.</p>
<p>We are looking for an experienced ERP Developer and Data Engineer to join our team in Massachusetts or remotely on a national level. This long-term contract position requires an individual with strong expertise in Infor SyteLine development, Power BI, and data engineering to support and enhance manufacturing operations. The role focuses on optimizing business systems, ensuring accurate data integration, and delivering actionable insights through advanced analytics. Other ERP's will be considered</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain applications within Infor SyteLine using the Mongoose framework to meet operational requirements.</p><p>• Design and implement workflows, forms, and business logic to streamline manufacturing processes.</p><p>• Manage integrations between SyteLine and external systems, ensuring seamless data flow and system compatibility.</p><p>• Troubleshoot and resolve technical issues related to SyteLine, providing detailed root-cause analysis.</p><p>• Build and deploy reliable data engineering processes to ensure data accuracy and availability.</p><p>• Collaborate with stakeholders to identify data needs and create solutions that support decision-making.</p><p>• Create and maintain dashboards and reports using Power BI and other tools to visualize business performance.</p><p>• Support data governance initiatives by standardizing reporting practices and maintaining data integrity.</p><p>• Develop complex queries, stored procedures, and views to facilitate advanced analytics.</p><p>• Assist with customizations and reporting requirements within Microsoft Dynamics, integrating data where necessary.</p>
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
<p><strong>Summary</strong></p><p>We are seeking a <strong>curious, proactive, and innovative Data Scientist</strong> with expertise in <strong>AI/ML and Large Language Models (LLMs)</strong> to design and deploy AI-driven solutions that deliver measurable business impact. This role involves working with <strong>LLMs, NLP, and deep learning techniques</strong> to build scalable models and translate complex insights into actionable strategies.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>AI/ML Model Development:</strong> Design, train, and fine-tune machine learning and deep learning models, including LLMs for predictive analytics and automation.</li><li><strong>Data Analysis & Feature Engineering:</strong> Collect, process, and analyze structured/unstructured data; engineer features to optimize model performance.</li><li><strong>NLP & Agent-Based Applications:</strong> Develop LLM-based AI solutions with prompt engineering, fine-tuning, and inference optimization.</li><li><strong>Business Impact:</strong> Translate data science methodologies into actionable insights for stakeholders.</li><li><strong>End-to-End Deployment:</strong> Implement MLOps best practices for scalable, reliable model deployment.</li><li><strong>Visualization & Storytelling:</strong> Create dashboards and presentations to communicate findings to non-technical audiences.</li></ul>
