Ovii Job Board

Data Engineer

FiftyFive Technologies

Gurugram, India • Onsite - Gurugram, India • Full-Time • 2-3 years

Posted 2026-06-17 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

We are seeking a Data Engineer with 2‑3 years of hands‑on experience building scalable ETL/ELT pipelines on Microsoft Azure. The role involves designing data models, working with Snowflake, automating deployments via Azure DevOps, and partnering with analysts and product teams to ensure data quality and governance.

Role Snapshot

  • Build scalable ETL/ELT pipelines
  • Develop data models, warehouses and lakes
  • Leverage Microsoft Azure and Azure Data services
  • Write SQL and Python for data transformation
  • Implement CI/CD with Azure DevOps
  • Collaborate with cross‑functional stakeholders
  • Ensure data quality, security and governance

Must-Have Requirements

  • Microsoft Azure
  • Azure Data Engineering services
  • SQL
  • Python
  • Azure DevOps
  • Data Engineering

Nice-to-Have Signals

  • Snowflake
  • Apache Airflow
  • large‑scale data migration
  • data governance & security best practices
  • Azure/Snowflake/cloud certifications
  • Azure certification
  • Snowflake certification
  • cloud certification

Work Setup

  • Location: Gurugram, India
  • Work mode: ONSITE
  • Employment type: Full-Time

Not Specified in JD

  • Visa sponsorship
  • Salary range
  • Remote eligibility
  • Education requirement
  • Certifications
  • Relocation
  • Notice period
  • Travel
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

What You'll Likely Work On

  • Design, develop and maintain scalable ETL/ELT pipelines for large data volumes
  • Create data integration and transformation workflows using Azure data services
  • Build and optimise data models, data warehouses and data lake solutions
  • Write efficient SQL queries and Python scripts for transformation and automation
  • Use Snowflake for data loading, query optimisation and performance tuning
  • Implement CI/CD and deployment automation with Azure DevOps
  • Ensure data quality, security, governance and reliability across platforms
  • Troubleshoot pipeline, data‑quality and performance issues
  • Participate in Agile/Scrum ceremonies and drive continuous improvement

Good Fit If You Have

  • Experience with Apache Airflow or similar orchestration tools
  • Background in large‑scale data migration or modernization projects
  • Knowledge of data governance and security best practices
  • Relevant Azure, Snowflake or cloud certifications

Skills

  • Microsoft Azure
  • Azure Data Engineering services
  • SQL
  • Python
  • Azure DevOps
  • CI/CD pipelines
  • Snowflake
  • Data modeling & warehousing
  • Data lake concepts
  • Agile/Scrum