{"id":3513227,"url":"https://alion.io/job/tech-mahindra-python-sparkpyspark-exposure-to-sap-fsdmfpsl","title":"Python, Spark,PySpark, Exposure to SAP FSDM,FPSL","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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business requirements to create effective migration strategies.\nDesign, develop, and maintain scalable PySpark-based data migration pipelines for moving data from source to Apache Iceberg.\nPerform data extraction, transformation, cleansing, standardization, and loading activities while ensuring data integrity.\nDevelop and optimize complex SQL queries for data extraction, validation, reconciliation, and reporting.\nPerform SQL query tuning and performance optimization to improve execution efficiency on large datasets.\nConduct detailed data profiling and identify data quality issues prior to migration.\nDefine and execute data validation and reconciliation processes to ensure completeness and accuracy of migrated data.\nDebug and troubleshoot PySpark jobs, identifying root causes for failures, performance bottlenecks, and data inconsistencies.\nAnalyze Spark execution plans and optimize jobs through partitioning, caching, and efficient transformation techniques.\nMonitor and troubleshoot Azure DevOps (ADO) pipeline executions, resolve failures, and coordinate deployments.\nWork with Git repositories to manage code changes through commits, pull requests, code reviews, branching, and merge strategies.\nInvestigate production issues, perform Root Cause Analysis (RCA), and implement preventive measures.\nReview job logs, application logs, and execution metrics to identify and resolve operational issues.\nCollaborate with business users, architects, data engineers, QA teams, and project stakeholders to ensure successful project delivery.\nCreate and maintain technical documentation, migration runbooks, mapping documents, and operational procedures.\nSupport SIT, UAT, deployment, hypercare, and production support activities.\nEnsure adherence to coding standards, development best practices, and data governance policies.\nParticipate in estimation, planning, sprint activities, and technical 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