Our client, a top-tier management consulting firm, is seeking a Senior Data Engineer to build and optimize scalable data pipelines and platforms using SQL, Python, and modern cloud technologies to support enterprise analytics and business decision-making.
Responsibilities & Qualifications
- Design, build, and maintain scalable ETL pipelines for structured and unstructured data
- Develop reliable data processing solutions using advanced SQL and Python
- Support cloud data migration initiatives, including data mapping, transformation, and validation
- Collaborate with data engineers, analysts, and business teams to deliver analytics-ready datasets
- Improve data quality, performance, and platform reliability
- Contribute to data engineering best practices, documentation, testing, and deployment
Requirements
- Proven experience as a Data Engineer delivering production-grade data solutions
- Strong expertise in SQL and Python for large-scale data processing
- Hands-on experience building and maintaining ETL pipelines in enterprise environments
- Experience working with cloud-based data platforms or migration initiatives
- Familiarity with data modeling and data warehousing concepts
- Strong collaboration, problem-solving, and communication skills
