Data Engineer

• Design and implement data pipelines using AWS services such as Glue, EMR Serverless, and Athena.
• Develop and optimize ETL workflows leveraging PySpark for large-scale data processing.
• Ensure data security and compliance through proper IAM roles, policies, and encryption standards.
• Architect and maintain data warehouse solutions for structured and semi-structured data.
• Collaborate with data analysts and business teams to deliver reliable datasets for reporting and analytics.
• Implement best practices for data quality, governance, and performance tuning.
• Explore and integrate latest cloud ETL technologies (e.g., AWS Glue Studio, Apache Iceberg, Delta Lake).
• Monitor and troubleshoot data workflows, ensuring high availability and scalability.
• Document technical designs, processes, and standards for data engineering solutions.
• Provide production support to the end-user and technical operations staff as required.
• Research system/application issues/problems within area/program(s) of responsibility and recommend innovative solutions to prevent recurrence.

Senior Data Engineer

Data Engineer

Cloud Architect – Data Engineering

Data Lead – Data Engineering

Lead Azure Data Engineer