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Databricks Sme

Posted on July 31, 2025

  • Ts, India
  • 0 - 0 USD (yearly)
  • Full Time

Databricks Sme job opportunity

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**Need Databricks SME ***

Location - offshore ( Anywhere from India - Remote ) - Need to work in EST Time (US shift)

Need 10+ Years of experience.

5 Must Haves:

1. Data Expertise -- worked in Azure Data Bricks/Pipeline/ Shut Down Clusters--2 or more years' experience

2. Unity Catalog migration -- well versed--done tera form scripting in Dev Ops--coding & understand the code--understanding the logics of the behind the scenes--automate functionality

3. Tera Form Expertise -- code building --- 3 or more years

4. Understanding data mesh architecture -- decoupling applications -- ability to have things run in Parallel -- clear understanding -- 2 plus years of experience Microsoft Azure Cloud Platform

5. Great problem Solver

Key Responsibilities:

  • Architect, configure, & optimize Databricks Pipelines for large-scale data processing within an Azure Data Lakehouse environment.
  • Set up & manage Azure infrastructure components including Databricks Workspaces, Azure Containers (AKS/ACI), Storage Accounts, & Networking.
  • Design & implement a monitoring & observability framework using tools like Azure Monitor, Log Analytics, & Prometheus / Grafana.
  • Collaborate with platform & data engineering teams to enable microservices-based architecture for scalable & modular data solutions.
  • Drive automation & CI / CD practices using Terraform, ARM templates, & GitHub Actions/Azure DevOps.

Required Skills & Experience:

  • Strong hands - on experience with Azure Databricks, Delta Lake, & Apache Spark.
  • Deep understanding of Azure services: Resource Manager, AKS, ACR, Key Vault, & Networking.
  • Proven experience in microservices architecture & container orchestration.
  • Expertise in infrastructure-as-code, scripting (Python, Bash), & DevOps tooling.
  • Familiarity with data governance, security, & cost optimization in cloud environments.

Bonus:

  • Experience with event - driven architectures (Kafka / Event Grid).
  • Knowledge of data mesh principles & distributed data ownership.

Interview: Two rounds of interviews (1st with manager & 2nd with the team)

Job Type: Full-time

Pay: ₹3,000,000.00 - ₹3,400,000.00 per year

Schedule:

  • US shift

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