Python Developer
Posted
Summary
Remote data-engineering role (5–6 years experience) building, optimizing, and troubleshooting ETL/ELT data pipelines using Python, Databricks/Spark, and AWS services (S3, Glue, Lambda, Redshift). Daily work centers on PySpark, SQL, data transformation, and warehousing, with Delta Lake, Git, and CI/CD as preferred skills.
This is a remote position.
Job Title: Databricks / AWS / Python Developer
Experience: 5–6 Years
Job Description:
- Strong hands-on experience in Python programming and data engineering.
- Good exposure to Databricks, including notebooks, Spark, and data processing.
- Experience with AWS services such as S3, Glue, Lambda, and Redshift.
- Knowledge of PySpark, SQL, ETL/ELT pipelines, and data transformation.
- Experience in developing, optimizing, and troubleshooting data pipelines.
- Understanding of data warehousing concepts and data integration.
- Good analytical, problem-solving, and communication skills.
Preferred Skills:
- Experience with Databricks on AWS.
- Knowledge of Delta Lake and data pipeline orchestration.
Exposure to Git and CI/CD practices.