Data QA Engineer

Adesso SE

Pune District

On-site

INR 900,000 - 1,500,000

Full time

13 days ago

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Job summary

Adesso SE in Pune, India, is seeking a Data QA Engineer for a MES program with a global client in vision care manufacturing. You will validate data flows end-to-end and contribute to data quality across ETL/ELT pipelines.

The role requires 5–8 years total experience, including 3+ years in data QA/engineering, strong SQL, data modelling, and hands-on Azure/Azure Databricks. Portuguese business hours apply via MS Teams.

Qualifications

  • 5–8 years of overall data experience with 3+ years in data QA/engineering.
  • Strong SQL skills and data modelling experience.
  • Hands-on experience with ETL/ELT pipelines and data validation.
  • Experience with Azure cloud services and Azure Databricks.

Responsibilities

  • Validate data across ETL/ELT pipelines feeding the MES landscape.
  • Build test automation for data validation using Python.
  • Work with data models and query layers to verify correctness.
  • Collaborate with the European team during Portuguese business hours via MS Teams.

Skills

SQL
Data Modelling
ETL/ELT
Azure
Azure Databricks

Tools

Azure Databricks
Azure

Job description

Openings: 1
Experience: 5–8 years overall, with 3+ years in data QA / data engineering

About the Role

We are looking for a Data QA Engineer to join a Manufacturing Execution System (MES) program for a leading global client in the vision care / optics manufacturing space. This role combines data engineering skills with a strong quality mindset to validate manufacturing data flows end to end.

Responsibilities

  • Validate data across ETL/ELT pipelines feeding the MES landscape
  • Build test automation for data validation using Python
  • Work with data models and query layers to verify correctness and completeness
  • Collaborate with the European team during Portuguese business hours via MS Teams
YOUR PROFILE

Mandatory Skills

  • Strong SQL
  • Data modelling and ETL/ELT understanding
  • Hands‑on experience with Azure and Azure Databricks
  • Ability to commit to a one-year assignment and align with Portuguese working hours
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