Lead DataStage Integration Support Engineer

Job Title: Lead DataStage Integration Support Engineer Location: Culver City, CA (4 Days Onsite) Duration: 6+ months Type: Contract Job Summary Seeking a Lead DataStage Engineer with strong development and administrative expertise to own ETL platform delivery, lead support operations, and drive stability, performance, and continuous improvement across data integration systems. Mandatory Skills 10 years of experience in IBM DataStage (Development + Administration) Strong expert

Job Title: Lead DataStage Integration Support Engineer Location: Culver City, CA (4 Days Onsite) Duration: Long Term Job Summary Client is seeking a highly experienced Lead DataStage Integration Support Engineer to oversee the development, administration, and support of enterprise ETL and data integration platforms. The ideal candidate will possess strong expertise in IBM DataStage, Unix/Linux administration, Python scripting, Control-M scheduling, and production support operations. This role

Key responsibilities Serve as L3 support: triage high-severity incidents, perform advanced debugging/root-cause analysis, deploy hotfixes, and create runbooks for L2 teams.Build and maintain batch/streaming data pipelines using ETL/ELT tools (dbt,) to integrate and transform multi-source data. Implement data quality validation, monitoring, alerting, and documentation; optimize pipelines for performance, cost, and reliability (partitioning, indexing, error handling). Partner with analytics, da

Role: Lead Data Engineer Location: Los Angeles, CA Onsite Experience: 9 to 12 years max Fulltime Role Job description: Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high quality, timely delivery. Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and