A lead data engineering role in Singapore (7-12 years experience, permanent) focused on diagnosing, optimizing, and stabilizing enterprise ETL and batch-processing platforms. Day-to-day involves tuning Azure Data Factory, Databricks (PySpark/Spark SQL), SSIS, and SQL Server pipelines, managing Control-M/Autosys batch scheduling, resolving failures, and improving monitoring.
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