Python Data Engineer

Python Data Engineer Data / Spark

Experience: 7+ Years

Role Overview: We are looking for a Python Data Engineer to develop reliable and scalable data processing solutions for a banking environment. The candidate should be comfortable working with large datasets, data pipelines and distributed processing frameworks.

Key Responsibilities

• Develop scalable data pipelines and transformation processes using Python and PySpark.

• Design and implement data models for enterprise data processing requirements.

• Develop efficient SQL queries and perform complex data transformations.

• Build, test and optimize ETL/ELT pipelines for large-scale data.

• Perform data validation, quality checks and troubleshoot data pipeline issues.

• Work with application, analytics and engineering teams to deliver reliable data solutions.

Required Skills

• 7+ years of experience in data engineering or software/data development.

• Strong hands-on Python programming skills.

• Strong SQL and relational database experience.

• Hands-on Apache Spark / PySpark experience.

• Strong understanding of data modeling, ETL/ELT and data pipeline concepts.

• Experience working with large datasets and distributed processing.

• Strong coding and problem-solving skills.

• Banking / Financial Services experience is preferred.

Good to Have: GenAI, ML and Google ADK.

Employment / Location: Banking Client | Dallas Texas/ New Jersey | Hybrid