Data Engineer

Recro

Pune District

On-site

INR 1,200,000 - 1,800,000

Full time

7 days ago
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Job summary

Recro is seeking a Data Engineer to join our Pune team. You will build and maintain data pipelines, write efficient SQL queries, and leverage AWS services to power data processing across the organization.

As part of the role, you will collaborate with analysts, data scientists, and senior engineers, ensure data quality, and document data workflows and schemas. The position emphasizes hands-on ETL/ELT work and strong SQL and Python skills.

Qualifications

  • 2+ years of experience in data engineering or ETL development.
  • Strong SQL skills across PostgreSQL, MySQL, or SQL Server.
  • Hands-on AWS experience – S3, Glue; exposure to Redshift/Lambda is a plus.
  • Working knowledge of Python for data scripting.
  • Nice to have: Spark/PySpark, data warehousing concepts, Git.

Responsibilities

  • Build, test, and maintain ETL/ELT data pipelines.
  • Write and optimize SQL queries for data extraction and reporting.
  • Work with AWS services for data processing.
  • Monitor data quality and troubleshoot pipeline issues.
  • Collaborate with analysts, data scientists, and senior engineers.
  • Document workflows and data schemas.

Skills

SQL
Python
ETL
Data engineering

Tools

AWS S3
AWS Glue
AWS Lambda
Amazon Redshift
Git
Spark

Job description

About the Role

We're looking for a Data Engineer to join our Pune team. You'll work with senior engineers to build and maintain data pipelines, write efficient SQL queries, and use AWS services to power data processing across the organization.



What You'll Do


  • Build, test, and maintain ETL/ELT data pipelines

  • Write and optimize SQL queries for data extraction and reporting

  • Work with AWS services (S3, Glue, Lambda, Redshift) for data processing

  • Monitor data quality and troubleshoot pipeline issues

  • Collaborate with analysts, data scientists, and senior engineers

  • Document workflows and data schemas



What We're Looking For


  • 2+ years of experience in data engineering or ETL development

  • Strong SQL skills (PostgreSQL, MySQL, or SQL Server)

  • Hands-on AWS experience – S3, Glue; exposure to Redshift/Lambda a plus

  • Working knowledge of Python for data scripting

  • Good to have: Spark/PySpark, data warehousing concepts, Git



Interview Process

Face-to-face interview in Pune Candidates should be comfortable and available for an in-person interview.

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