Senior Data Engineer
Job Summary
Designing and operating enterprise-scale data solutions on AWS Lakehouse, the full-time Senior Data Engineer will implement ELT/ETL processes, develop scalable data pipelines using Python and PySpark, and ensure data quality and governance in a remote environment.
Key Responsibilities
- Design and implement ELT/ETL solutions for batch and streaming data ingestion and transformation on the Lakehouse
- Develop reusable data processing frameworks and scalable orchestration workflows for production data delivery
- Apply DataOps practices, including automated testing and CI/CD for data pipelines, while providing technical leadership through mentoring and design reviews
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent work experience
- 8+ years of overall IT experience with 5+ years focused on enterprise-scale data engineering solutions
- Strong experience with Python and PySpark for developing scalable data pipelines
- Experience with AWS Glue, Apache Spark, or comparable technologies for data ingestion and transformation
- Strong understanding of data warehousing concepts and modern data lake/Lakehouse architectures
Complete Job Description
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