Phaxis
Linkedin · Posted 26d ago
Python SQL Data Engineer – Financial Services
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Indexed description
Salary is 140k to 200k + bonus
We are seeking a Data Engineer with strong Python and SQL expertise to support data integration, analytics, and reporting initiatives within a financial services environment. The ideal candidate will have experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms.
Responsibilities- Design and develop ETL/data pipelines using Python and SQL
- Process and analyze large financial datasets from multiple sources
- Build and optimize data models, transformations, and reporting workflows
- Collaborate with business, analytics, and engineering teams to support data-driven initiatives
- Monitor data quality, troubleshoot issues, and improve performance
- Support cloud-based data platforms and automation processes
- 5+ years of Data Engineering experience
- Strong hands-on experience with Python and advanced SQL
- Experience in financial services, banking, asset management, or insurance
- Knowledge of ETL processes, data warehousing, and data modeling
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with Agile methodologies and version control tools
- Experience with Spark, Airflow, Snowflake, or Databricks
- Exposure to BI/reporting tools such as Tableau or Power BI
- Strong analytical and problem-solving skills
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