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Databricks Sme
Posted on July 31, 2025
- Ts, India
- 0 - 0 USD (yearly)
- Full Time

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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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