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Job Closed

Senior Data Engineer - Databricks & AWS

  • Source: Indeed
  • Tntra
  • Remote
  • India
  • Senior

Job Description

Location: Remote (India)
Job Type: Contract
Experience: 5+ years
Start Date: Immediate

About the Role

We are hiring an experienced Senior Data Engineer with strong Databricks and AWS expertise to design, develop, and optimize scalable data solutions. You will lead data architecture, pipeline development, data quality, and the delivery of reliable enterprise data products.

Key Responsibilities

  • Design data architecture, data models, and data contracts
  • Work with stakeholders and data product owners to define requirements
  • Lead sprint planning, technical reviews, and accelerator configuration
  • Build and maintain data pipelines across all data zones (e.g., bronze/silver/gold)
  • Implement data conformance, quality rules, and validation processes
  • Manage workflow orchestration and CI/CD pipelines
  • Ensure scalable, reliable, high-quality data product delivery

Requirements

  • 5+ years of relevant experience with strong Databricks and AWS expertise
  • Experience in data architecture, data modelling, and data contracts
  • Strong pipeline development skills across multiple data zones
  • Knowledge of data quality, conformance, and orchestration
  • Experience with CI/CD and deployment automation
  • Strong stakeholder communication and technical leadership skills

How to Apply: Send your updated CV with your current location, notice period/availability, and expected monthly rate.

Application Question(s):

  • Describe a data pipeline you built on Databricks and AWS: services used (e.g., S3, Glue, Lambda, Delta Lake, Unity Catalog), the data zones it covered, and how it was orchestrated and deployed (e.g., Databricks Workflows, Airflow, CI/CD).
  • Have you defined data models and data contracts, and implemented data quality/conformance rules? Please describe briefly, including tools used.
  • What is your notice period / how soon can you join? Please also share your expected monthly rate (INR).

Experience:

  • Databricks: 4 years (Required)
  • AWS: 4 years (Required)

Work Location: Remote

Skills

  • azure-databricks
  • databricks
  • amazon-web-services
  • amazon-s3
  • aws-glue
  • aws-lambda
  • delta-lake
  • unity-3d
  • Airflow
  • apache-airflow
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