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LTM is seeking an experienced Data Engineer to lead the technical design and development of data ingestion and transformation pipelines for the Client data lake. You will build ETL/ELT frameworks using IDMC, implement patterns for Bronze, Silver and Gold processing, and set standards for parameterization, reusable mappings, logging, auditing and exception handling.
You will review ETL code, optimize performance, implement data quality checks, and coordinate deployment, monitoring and production
Lead technical design and development of data ingestion and transformation pipelines for Client data lake
Lead technical design and development of data ingestion and transformation pipelines for Client data lake Build ETLELT frameworks using IDMC SQL and data engineering patterns for Bronze Silver and Gold processing Define standards for parameterization reusable mapping templates logging auditing and exception handling Review ETL code IDMC mappings SQL procedures PySpark logic and orchestration workflows Optimize data pipeline performance for highvolume loads incremental processing and restartability Implement reconciliation data quality checks reject handling and control tables Coordinate deployment monitoring and production support for ETL workloads