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Job Description
Job Summary: We are looking for a Back-end Data Engineer with strong hands-on experience in building and operating production-grade data pipelines, with a primary focus on data movement into Databricks and Snowflake.This role is designed for someone who can hit the ground running—you will be expected to contribute immediately without foundational training.
Key Responsibilities:
Design, build, and maintain scalable and reliable data pipelines from multiple source systems into Databricks and Snowflake
Own backend data movement architecture, ensuring performance, reliability, and cost efficiency
Develop and optimize Python and SQL-based transformations
Manage and improve pipeline orchestration, scheduling, and monitoring
Work closely with analytics, data science, and platform teams to enable downstream use cases
Troubleshoot production issues and implement long-term fixes
Follow engineering best practices including version control, testing, and CI/CD workflows
Required Skills
Hands-on production experience with Databricks (non-negotiable)
Strong proficiency in Python and SQL
Solid understanding of data engineering fundamentals and pipeline design
Experience with Git-based version control
Working knowledge of Shell scripting
Experience with AWS (data services, storage, compute, or IAM)
Familiarity with CI/CD concepts and modern deployment workflows
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