Data Engineer - Backend

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