Data Engineer (Temp 1 year)

1.Design, build, and maintain data pipelines (ETL, Web Service, SFTP) and ensure scheduled jobs run correctly and on time. 2.Integrate data from multiple source systems into a unified Customer 360 / single customer view. 3.Improve pipeline performance, reliability, and data quality. 4.Prepare and provision clean, up-to-date datasets for analysts and data scientists. 5.Support migration of legacy processes (e.g. Rapid Miner) to Python-based pipelines. 6.Maintain data governance, documentation, and monitoring.

Qualifications: Bachelor's or Master's degree in Computer Science, Data/Software Engineering, or related field. 2+ years in data engineering. Strong SQL and Python; hands-on with ETL tools and data warehousing. Experience with pipeline orchestration, APIs, and cloud or on-prem data platforms. Knowledge of data modeling, data quality, and scheduling/automation. Detail-oriented, reliable, and able to work with cross-functional business teams.