What are the responsibilities and job description for the AWS Data Engineer Spark & Databricks position at Tymon Global?
We are seeking an experienced AWS Data Engineer with 6 years of experience in data engineering, cloud technologies, and large-scale data processing. The ideal candidate must have strong hands-on experience with AWS, Apache Spark, PySpark, and Databricks to build and optimize scalable data pipelines and data processing solutions.
Roles & Responsibilities
- 6 years of experience in data engineering with strong hands-on expertise in AWS, Apache Spark, PySpark, and Databricks.
- Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and SQL.
- Work with AWS services such as S3, Glue, EMR, and Redshift to build reliable data solutions.
- Develop and optimize data processing workflows using Databricks, Delta Lake, and Apache Spark.
- Perform data validation, quality checks, troubleshooting, and performance optimization across data pipelines.
- Collaborate with cross-functional teams to deliver secure, reliable, and scalable cloud-based data engineering solutions.