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, robust 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.Job Responsibilities:

- 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

Basic Qualifications:

- 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

Preferred Skills:

- 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.

📌 Data Engineer (Coimbatore)
🏢 ShyftLabs
📍 Coimbatore