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Data Engineer

ShyftLabs
🇮🇳 India
Hybrid
1 month ago
  • Python
  • SQL
  • ETL
  • ELT
  • Databricks
  • AWS Cloud
  • Apache Spark
  • EMR
  • Redshift
  • CI/CD
  • Airflow
1 month ago
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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.

Data Engineer · ShyftLabs

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