Mid/Senior Python developer / Data Engineer (Python / SQL / ETL / Data Migration)

. Develop and optimize Python-based ETL pipelines for batch and incremental data migration.
. Load data from COBOL Enscribe/SQL MP sources (in CSV format) into PostgreSQL.
. Implement data transformations, cleansing, validation, and enrichment using Python, SQL, and Pandas.
. Design and tune high-performance SQL queries, indexing strategies, and database procedures.
. Map legacy data models to target schemas and address exceptions with technical teams.
. Create automated validation and reconciliation scripts to ensure data quality and accuracy.
. Support QA with test cases, test data, and verification workflows.
. Device and automate backup, restoration and purge strategies conforming to compliance and regulations.
.Deploy ETL components via CI/CD and manage migration waves, dry runs, rollbacks, and cutovers.
. Produce clear documentation and communicate effectively with stakeholders.
. Strong Python development (Pandas, NumPy, SQLAlchemy, pyodbc, custom ETL frameworks).
. Expert SQL: joins, window functions, CTEs, partitioning, indexing.
. Experience with ETL tools (Airflow, Informatica, Glue, Talend, SSIS, etc.).
. Hands-on data migration experience with large datasets ( 100M rows).
. Solid understanding of RDBMS concepts, modelling, constraints, and referential integrity.
. Strong analytical, problem-solving, communication, and documentation skills.
. Ability to work under tight timelines during migration and cutover periods.
Education :Bachelor's or Master's in Computer Science, Information Systems, Data Engineering, or related fields.
Cloud/ETL/Python/DB certifications are a plus.