Data Engineer

India·CoimbatoreFull-Timemid

Data EngineerData

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Overview

Position Overview: We are seeking a Data Engineer to join a client-focused engagement, with responsibilities split evenly between production support and technical/development work.

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Data EngineerData

Position Overview:

We are seeking a Data Engineer to join a client-focused engagement, with responsibilities split evenly between production support and technical/development work. This role requires 2–4 years of hands-on experience in data engineering, strong proficiency in Python, SQL, and Spark, and prior exposure to client-based project environments. The ideal candidate will be comfortable balancing operational support duties with building and optimizing data pipelines.

Provide day-to-day support (50%) for existing data pipelines, jobs, and platforms —monitoring, troubleshooting, and resolving issues to ensure smooth operations

Design, build, and maintain (50%) scalable data pipelines and ETL/ELT workflows using Python, SQL, and Spark

Collaborate with cross-functional and client teams to understand data requirements and translate them into technical solutions

Perform root-cause analysis on data/pipeline issues and implement fixes with minimal downtime

Optimize existing data workflows for performance, reliability, and cost-efficiency

Document processes, pipeline architecture, and support runbooks for knowledge continuity

Participate in on-call/support rotations as needed for the client engagement

Work with Databricks and/or AWS cloud environments where applicable to build or support data solutions

2–4 years of experience in a Data Engineering role

Strong proficiency in Python and SQL

Hands-on experience with Apache Spark

Prior experience working on client-based projects (mandatory)

Ability to work across both support and development responsibilities

Strong problem-solving and communication skills for client-facing situations

Experience working with Databricks

Familiarity with AWS Cloud services (e.g., S3, Glue, EMR, Lambda, Redshift)

Exposure to CI/CD pipelines for data engineering workflows

Experience with workflow orchestration tools (e.g., Airflow)

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.