Data Engineer

ShyftLabs

Hybrid

Coimbatore

Full-time

Mid Level

2+ yrs

Salary not listedPosted 2d ago

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Real job — pulled straight from ShyftLabs’s careers page · Verified August 11, 2026 · No reposts.

ShyftLabs is hiring a Data Engineer — a full-time, based in Coimbatore role. Apply directly on ShyftLabs's careers page below.

Data Engineer

Team: Engineering

Location: Coimbatore

Commitment: Full-Time

Workplace Type: hybrid

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.

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.