<p>Position Overview</p><p>We are seeking a talented <strong>Data Engineer</strong> with strong experience in <strong>Python, AWS, and Databricks</strong> to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain <strong>scalable data pipelines and ETL/ELT workflows</strong> using Python and cloud technologies.</li><li>Develop and optimize data solutions using <strong>AWS services and Databricks</strong>.</li><li>Build and manage <strong>data lakes and data warehouses</strong> for structured and unstructured data.</li><li>Implement <strong>data transformation and processing pipelines</strong> using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure <strong>data quality, governance, security, and compliance</strong> across the data platform.</li><li>Monitor pipeline performance and troubleshoot <strong>data pipeline failures or latency issues</strong>.</li><li>Collaborate with <strong>data analysts, data scientists, and business stakeholders</strong> to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li><br></li></ul><p><br></p>

<p>Required Qualifications</p><ul><li>Bachelor’s degree in <strong>Computer Science, Data Engineering, Information Systems, or related field</strong>.</li><li><strong>3+ years of experience</strong> in data engineering or data platform development.</li><li>Strong programming experience with <strong>Python</strong> for data processing and automation.</li><li>Hands-on experience with <strong>AWS cloud services</strong> such as:</li><li>Amazon S3</li><li>AWS Glue</li><li>AWS Lambda</li><li>Amazon Redshift</li><li>Amazon EMR</li><li>Experience working with <strong>Databricks and Apache Spark</strong> for large-scale data processing.</li><li>Strong knowledge of <strong>SQL and relational databases</strong>.</li><li>Experience designing and maintaining <strong>ETL/ELT pipelines</strong>.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience with <strong>data orchestration tools</strong> such as Airflow or AWS Step Functions.</li><li>Familiarity with <strong>streaming data technologies</strong> (Kafka, Kinesis, or Spark Streaming).</li><li>Experience with <strong>CI/CD pipelines and DevOps practices</strong>.</li><li>Knowledge of <strong>data modeling, data warehousing, and lakehouse architectures</strong>.</li><li>Experience working in <strong>Agile development environments</strong>.</li></ul><p><br></p>

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