Senior Data Engineer

Bachelor’s degree in Computer Science, Data Engineering, or related field—or equivalent experience. 5–7+ years of experience in data engineering. Expert knowledge of SQL and Python, including performance optimization and data manipulation libraries. Strong experience with AWS data products (S3, Redshift, Athena, Lambda). Familiarity with multi-cloud environments. Deep understanding of data modeling, schema design, and best practices for large-scale data solutions. Demonstrated ability to design secure, reliable pipelines and troubleshoot complex issues. Experience leading projects and mentoring other engineers. Excellent communication, critical thinking, and problem-solving skills. Comfortable managing multiple priorities and delivering in a fast-paced environment.

Architect and optimize robust, scalable ETL pipelines and workflows. Ensure data integrity and governance through validation frameworks. Leverage advanced SQL and programming skills to extract, transform, and analyze data. Develop automation using Python, Pandas, AWS Lambda, and related tools. Design and manage data platforms, including Snowflake, Athena, Redshift, BigQuery. Collaborate with stakeholders to translate business requirements into technical solutions. Mentor and coach junior data engineers. Lead vendor and partner integrations. Communicate effectively with technical and non-technical stakeholders. Drive innovation in data systems.