{"id":2162610,"url":"https://alion.io/job/zingmind-technologies-senior-data-migration-engineer","title":"Senior Data Migration Engineer","company":{"id":3800616,"name":"ZingMind Technologies","domain":"zingmind.com","url":"https://alion.io/company/zingmind-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitLab CI","optional":false},{"name":"Informatica","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false}],"status":"live","first_seen_at":"2026-10-09T08:02:39Z","employer_posted_date":null,"last_verified_at":"2026-10-09T08:02:39Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Position : Data Migration Engineer\n\nExperience : 7 - 10 Year relevant in Data Engineering (Informatica & DBT)\n\nLocation : Global Village, Bangalore (Hybrid Remote, Minimum 2 Day / Week from Office)\n\nShift Timing : 11:00 AM to 08:00 PM IST.\n\nJob Description :\n\nThe Senior Data Migration Engineer serves as a hands-on technical contributor and delivery anchor, responsible for designing and implementing Python-based extract/load pipelines, dbt-based transformations, and Airflow-based orchestration for a large-scale migration from Informatica PowerCenter to a modern data stack.\n\nThis role requires deep expertise in converting complex Informatica workflows into Python, dbt, and Airflow, and the ability to deliver production-quality, functionally equivalent output at enterprise scale.\n\nMUST Have Mandatory skills (non-negotiable) :\n\n- 5+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization\n\n- 5+ years of Python experience, including production use of parallelism and batch data processing\n\n- 3+ years of hands-on DBT Core experience - model layering, macros, tests, incremental materializations\n\n- 3+ years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool\n\n- 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets\n\nMandate Skills : Informatica, DBT, SQL, Python, Airflow, CI/CD, Docker Image\n\nKey Responsibilities :\n\n- Assess complex Informatica workflows including sessions, mappings, and parameterizations and translate them into equivalent Python EL scripts and dbt transformation models.\n\n- Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP.\n\n- Design and develop dbt transformation models based on Informatica mapping logic, incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns.\n\n- Develop dbt-native tests as well as custom Python unit tests to validate transformation correctness and data quality.\n\n- Develop Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end, producing output that is functionally equivalent to the source Informatica workflows.\n\n- Contribute to GitLab CI/CD pipeline for dbt and Airflow code, including lint gates, automated testing, and deployment to shared NAS.\n\n- Perform peer code reviews and provide constructive technical feedback to fellow engineers.\n\n- Troubleshoot performance issues and data discrepancies during SIT and UAT, including row-count reconciliation between source Oracle/SQL Server systems and the target warehouse.\n\n- Contribute to technical documentation, runbooks, and handover materials.\n\nRequired Skills & Experience :\n\n- 5+ years of Informatica PowerCenter experience - 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