Data Engineer
Job Summary
To design and optimize scalable data pipelines, the remote Data Engineer will develop and maintain ETL solutions using Databricks and AWS Glue while writing efficient PySpark, Python, and SQL code for large-scale data processing.
Key Responsibilities
- Develop and maintain scalable ETL/data pipelines using Databricks and AWS Glue
- Build data ingestion and transformation workflows for structured and semi-structured data
- Integrate data from multiple sources, including MongoDB and relational databases
Required Qualifications
- 5+ years of experience in Data Engineering or ETL development
- Strong hands-on experience with Databricks and PySpark
- Experience with AWS Glue and AWS data services
- Proficiency in Python and SQL
- Experience working with MongoDB
COMPLETE JOB DESCRIPTION
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