Python Developer

Note :- Only US Citizens, Green Card Holders, H1B Transfer/H1B with approved I-140 are WorkableRole - Python Data EngineerTotal Experience - 7+ yearsRelevant Experience - 4+ yearsEmployment - Full Time (1099)Job Summary Develop and support scalable data solutions for a banking client using Python, PySpark, SQL and Oracle. The candidate should have strong hands-on data pipeline, transformation and large-volume processing experience. Key Responsibilities • Design and maintain data pipelines using Python and PySpark. • Build ETL/ELT processes for extraction, transformation, validation and loading. • Work extensively with Oracle and SQL for data processing and reconciliation. • Develop data models and transformations for large datasets. • Optimize PySpark jobs, SQL queries, joins and partitioning. • Implement data-quality checks, error handling and production support. • Collaborate with application, database, QA and DevOps teams. Required Skills • Strong Python and PySpark experience. • Strong SQL and Oracle database experience. • Experience with ETL/ELT, data pipelines and data modeling. • Knowledge of Spark DataFrames, joins, transformations, partitioning, caching and optimization. • Experience troubleshooting production data issues. • Banking/financial-services experience preferred. Good to Have • Databricks • AWS/Azure • Kafka • Airflow • Snowflake/Data Lake • GenAI/ML Key Skills: Python, PySpark, Data Modeling, SQL, Oracle Employment / Location: Banking Client, Financial Service| Dallas, Texas / New Jersey | Hybrid