We are looking for a skilled Data Engineer to join our team in Foxborough, Massachusetts, on a long-term contract basis. In this role, you will design, optimize, and maintain data pipelines and storage solutions, leveraging modern tools to ensure high performance and reliability. This position offers an exciting opportunity to collaborate across teams and implement cutting-edge practices in data engineering and analytics.<br><br>Responsibilities:<br>• Optimize Amazon Redshift performance by configuring distribution keys, sort keys, and fine-tuning queries.<br>• Develop and maintain robust data pipelines using AWS Glue and orchestrate workflows with Airflow.<br>• Manage semantic layers and metadata to support reliable analytics and AI-driven insights.<br>• Implement best practices for data partitioning, compression, and columnar storage formats.<br>• Monitor and troubleshoot data workflows to ensure high availability, reliability, and automated observability.<br>• Automate data processing tasks using Python and AWS native tools.<br>• Enforce data security and governance policies, including row- and column-level controls, using Lake Formation and AWS services.<br>• Oversee compliance monitoring and auditing through CloudWatch, CloudTrail, and similar tools.<br>• Continuously refine and improve data architecture by adopting emerging AWS best practices and patterns.<br>• Collaborate closely with Operations, Data Governance, and other teams to align with standards and achieve delivery objectives.

• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience in data management, integration, or warehousing.<br>• Proficiency with AWS services such as S3, Lambda, Glue/Spark, EventBridge, and Step Functions.<br>• Strong understanding of AWS networking concepts, including subnets, routing, gateways, and security groups.<br>• Expertise in optimizing Redshift concurrency scaling and tuning Athena queries.<br>• Familiarity with AWS IAM roles, policies, cross-account access, and security configurations.<br>• Advanced SQL skills, including joins, window functions, and aggregations, particularly with distributed engines like Redshift and Athena.<br>• Experience with tools like Apache Spark, Python, Hadoop, Kafka, and ETL processes.<br>• Ability to ensure data reliability, scalability, and security in enterprise environments.

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