Data Pipeline Development Design, build, and maintain scalable batch and real-time data pipelines using ETL/ELT patterns. Ingest and integrate structured, semi-structured, and unstructured data from diverse sources, including APIs, databases, files, and event streams.Implement incremental loading, change data capture (CDC), and idempotent pipeline design.
Monitor operational performance (equipment, sub-contractors, productivity, quality of service, data, incident handling) and initiate, implement, and control corrective actions; escalate to superiors when needed.
This role will involve traveling to sites to ensure the method of construction, site coordination and equipment performance meets design criteria, concurrent maintainability and reliability standards.
Candidates should have strong attention to detail, organizational skills, and the ability to follow standardized procedures and meet deadlines in a remote work environment.
Lead data engineers and system developers in delivering data quality management functions in line with MAS data management guidelines and internal data policy
Participate in creating and promoting database design standards (naming conventions, indexes, comments, table structures, etc.) to improve development consistency.