Python Developer
Information Technology & Services · 1,001-5,000 employees
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About the role
Develop, optimize, and troubleshoot complex data pipelines using Python and Databricks. Manage data integration and transformation processes within an AWS cloud environment.
What they look for
Requirements
Requires 5-6 years of experience in Python programming and data engineering. Must have strong hands-on expertise with AWS services, Spark, and data warehousing concepts.
Full description
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.
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