Senior Data Engineer - Databricks & Cloud Modernization
Compunnel, Inc.
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Job summary
Compunnel, Inc. is seeking a Senior Data Engineer to lead data transformation and modernization efforts. You will migrate legacy platforms to cloud-enabled solutions, leverage Databricks, AWS (S3, Lambda), and develop Python/PySpark pipelines.
Strong SQL skills and Snowflake awareness are a plus. The role can be performed remotely, but an onsite interview is required. You will design and implement scalable data processing workflows, collaborate with cross-functional teams, and tackle complex
Qualifications
- Senior-level data engineering experience with a track record of solving complex problems.
- Hands-on Databricks experience and strong AWS (S3, Lambda).
- Proficiency in Python and PySpark; SQL skills for data manipulation.
- Experience with data transformation and platform modernization.
- Ability to complete technical assessments and onsite interviews.
Responsibilities
- Design and implement data transformation solutions for modernization.
- Develop scalable data pipelines using Databricks and AWS.
- Work with S3 and Lambda to support data flows.
- Build data processing workflows in Python and PySpark.
- Tackle complex data engineering challenges and migrations.
- Collaborate with technical teams on modernization initiatives.
Skills
Tools
Job description
Compunnel, Inc. is seeking a Senior Data Engineer to lead data transformation and modernization efforts. You will migrate legacy platforms to cloud-enabled solutions, leverage Databricks, AWS (S3, Lambda), and develop Python/PySpark pipelines.
Strong SQL skills and Snowflake awareness are a plus. The role can be performed remotely, but an onsite interview is required. You will design and implement scalable data processing workflows, collaborate with cross-functional teams, and tackle complex
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