Specialist
- Data Engineering 5+ year

Job description
Architect and implement core ETL graphs choose partitioning keys sortmerge strategies and memory settings to meet SLAs Handson technical lead for a Ab Initio delivery team design graphs enforce standards mentor devs own performance and production readiness for assigned modules Do deep code reviews of GDE graphs naming parameterization component reuse error handling and logging Lead performance investigations identify skew repartition points costly sorts and recommend rewritepartitioning improvements Prepare test datasets and scripts for unitregressionperformance testing Work with Ops to ensure CoOperating scheduling appropriate restart strategies and runbook snippets for each graph Working Basic knowledge in Bigdata Hadoop Eco system Experience and expertise on SQL and Unix shell scripting Knowledge on Abinitio air commands and m commands Musthave technical skills Expert with GDE graph authoring and debugging comfortable editing cfg parameter files and using graph debuggerslogs Strong knowledge of Ab Initio operators Join Reformat Dedup RollupAggregate Rank Sort Partition Merge Lookup and when to use each optimally in a parallel setting Mastery of partitioning strategies and the impact on network IO memory and mergesort costs Familiarity with EME for metadata component checkins and versioning Ability to write auxiliary shell scripts and SQL for test data and postprocessing Own delivery of large ETL landscapes built on Ab Initio GDE graphs CoOperating deployment EME metadata Define and enforce an Ab Initiospecific delivery model component library governance naming conventions asset versioning in EME release pipelines for graphs and sandboxes Set organizationlevel standards for metadatadriven development shared enterprise components and reuse of transform libraries and parameter sets Lead major production incident response for Ab Initio stacks triage root cause postmortem defecttochange feedthrough

Skills:
Mandatory

Skills:
AbInitio

📌 Initio ETL (Pune)
🏢 LTIMindtree
📍 Pune