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Manager, Data Engineering

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Onsite

Manager, Data Engineering

21Tech

Manager, Data Engineering

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringTableauPythonGoogle BigQueryDatabricksGitData AnalysisGitHubApache Airflow

1 month ago

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Important information


Location:

India

Work mode:

Onsite

Published on:

24 September 2026

What they need


Manager, Data Engineering
Location: Gurugram, India.
6-Month Contract
$16.41/hr USD | No C2C

Our client, a leading SaaS company, is seeking a Manager, Data Engineering. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing the company's data infrastructure to support data analytics and business intelligence initiatives.

Key Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
  • Data Warehousing: Develop and manage the data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
  • Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
  • DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
  • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
  • Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
  • EPM Integration (Optional): Integrate data with the Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of proven experience in a data engineering role.
  • Strong proficiency in SQL and extensive experience with Google BigQuery.
  • Hands-on experience with big data technologies such as Databricks and Dataproc.
  • Experience with ETL/ELT tools, such as Informatica.
  • Proficiency in orchestrating data pipelines with Airflow.
  • Strong programming skills in Python.
  • Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

  • Experience with BI visualization tools, particularly Tableau.
  • Familiarity with EPM tools, especially Anaplan.
  • Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

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