Data Engineer (Python & PySpark Focus)

Data Engineer (Python & PySpark Focus)

We are seeking a highly motivated and experienced Data Engineer to join our team, focusing on building, optimizing, and deploying robust, scalable data solutions. The ideal candidate will possess deep expertise in Python and PySpark to drive complex data transformations and support high-volume, performance-critical simulation initiatives.

Key Responsibilities

• Design, build, and maintain high-performance ETL / ELT data pipelines using Python and PySpark.
• Apply expertise in Python's data analysis libraries, including Pandas and NumPy, to perform complex data manipulation, cleansing, and transformation.
• Develop and manage data processing jobs leveraging PySpark for distributed computing across large-scale datasets.
• Implement DevOps practices and tooling (e.g., Docker, Jenkins, Terraform, CloudFormation) for the automated deployment and orchestration of Python applications and data pipelines.
• Collaborate with data scientists and analysts to ensure data quality, availability, and consistency for advanced modeling and reporting.
• Utilize AWS or other cloud services (e.g., S3, Glue, EMR, Snowflake) to architect and maintain cloud-based data ecosystems.
• Write and optimize complex SQL queries for data extraction, integrity checks, and performance tuning.

Required Technical Skills

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No