We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.</p>
Job Summary We are seeking a skilled Cloud Engineer to design, implement, manage, and optimize cloud-based infrastructure and services across enterprise environments. The ideal candidate will have experience with cloud platforms, infrastructure automation, security, monitoring, and DevOps practices. This role will be responsible for supporting cloud migration initiatives, ensuring platform reliability, and driving operational excellence through automation and best practices. Key Responsibilities Design, deploy, and maintain cloud infrastructure in Azure, AWS, and/or Google Cloud Platform (GCP). Build and manage highly available, scalable, secure, and cost-effective cloud environments. Implement Infrastructure as Code (IaC) solutions using tools such as Terraform, ARM Templates, Bicep, or CloudFormation. Automate deployment, provisioning, and configuration management processes. Monitor system performance, availability, and security using cloud-native and third-party monitoring tools. Support application deployment and CI/CD pipelines in collaboration with development teams. Manage cloud networking, identity management, access controls, and security policies. Implement backup, disaster recovery, and business continuity solutions. Troubleshoot and resolve cloud infrastructure and application issues. Optimize cloud resource utilization and cost management. Participate in cloud migration, modernization, and transformation projects. Ensure compliance with organizational security, governance, and regulatory requirements. Document cloud architectures, operational procedures, and technical standards.
<p>We are seeking a skilled Cloud Engineer to design, implement, manage, and optimize cloud-based infrastructure and services across enterprise environments. The ideal candidate will have experience with cloud platforms, infrastructure automation, security, monitoring, and DevOps practices. This role will be responsible for supporting cloud migration initiatives, ensuring platform reliability, and driving operational excellence through automation and best practices. Key Responsibilities Design, deploy, and maintain cloud infrastructure in Azure, AWS, and/or Google Cloud Platform (GCP). Build and manage highly available, scalable, secure, and cost-effective cloud environments. Implement Infrastructure as Code (IaC) solutions using tools such as Terraform, ARM Templates, Bicep, or CloudFormation. Automate deployment, provisioning, and configuration management processes. Monitor system performance, availability, and security using cloud-native and third-party monitoring tools. Support application deployment and CI/CD pipelines in collaboration with development teams. Manage cloud networking, identity management, access controls, and security policies. Implement backup, disaster recovery, and business continuity solutions. Troubleshoot and resolve cloud infrastructure and application issues. Optimize cloud resource utilization and cost management. Participate in cloud migration, modernization, and transformation projects. Ensure compliance with organizational security, governance, and regulatory requirements. Document cloud architectures, operational procedures, and technical standards.</p>
Software Engineer - .NET Developer Job Summary We are seeking a highly skilled Software Engineer (.NET Developer) to design, develop, test, and maintain scalable enterprise applications using Microsoft .NET technologies. The ideal candidate will collaborate with business stakeholders, architects, and cross-functional teams to deliver high-quality software solutions that support business objectives. This role requires strong experience in application development, API integration, database design, and modern software development practices. Key Responsibilities Design, develop, enhance, and support enterprise applications using the Microsoft .NET framework and .NET Core/.NET. Develop web applications, RESTful APIs, and microservices using C#, ASP.NET MVC, ASP.NET Core, and Web API. Collaborate with business analysts, product owners, and stakeholders to understand requirements and translate them into technical solutions. Create and maintain application architecture, technical specifications, and documentation. Develop and optimize SQL Server database objects, including stored procedures, views, functions, and queries. Perform code reviews and ensure adherence to coding standards, security practices, and software development methodologies. Troubleshoot and resolve application defects, performance issues, and production incidents. Implement automated testing and participate in CI/CD deployment processes. Integrate applications with third-party systems, cloud services, and enterprise platforms. Participate in Agile ceremonies, including sprint planning, daily standups, and retrospectives. Maintain application security and compliance with organizational standards.