Senior Data Engineer
Bengaluru, KA, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain scalable, cost-efficient data pipelines
Develop idempotent ETL/ELT pipelines using Python, PySpark, Delta Lake
Set up data governance, lineage and access controls in Unity Catalog
Define infrastructure as code with Terraform for Databricks environments
Build CI/CD pipelines and monitor Databricks compute costs
From the employer’s posting
Design, build, and maintain scalable, reliable, and cost-efficient data pipeline architectures.
Develop idempotent, automated ETL/ELT pipelines using Python, PySpark, Delta Lake, and MERGE INTO patterns.
Establish fine-grained data governance, lineage tracking, and security access controls across environments using Unity Catalog.
Define and manage Infrastructure as Code using Terraform and Azure DevOps for Databricks workspaces
Build and maintain automated CI/CD pipelines using Databricks Asset Bundles, Databricks CLI, GitHub Actions, Azure DevOps, or GitLab.
What you’ll bring
All qualificationsCore experience
- Experience with AWS or GCP is beneficial.
Qualification wording
* At least five years of experience in data engineering, DataOps, DevOps, or a comparable technical role. * Advanced hands-on experience with Python, PySpark, SQL, Git, and Databricks. * Strong experience with the Databricks ecosystem, including Delta Lake, Unity Catalog, and Databricks Serverless SQL. * Proven experience with Infrastructure as Code, preferably Terraform, and CI/CD tooling such as Databricks Asset Bundles, GitHub Actions, Azure DevOps, or GitLab. * Experience implementing data-quality controls, data contracts, automated testing, monitoring, and incident-management practices. * Strong knowledge of Azure cloud services, including security, networking, identity and access management, and storage integration. Experience with AWS or GCP is beneficial.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- GCP
- Terraform
- PySpark
Source — Tool mentions in context
YOUR TASKS AND RESPONSIBILITIES: * Design, build, and maintain scalable, reliable, and cost-efficient data pipeline architectures. * Develop idempotent, automated ETL/ELT pipelines using Python, PySpark, Delta Lake, and MERGE INTO patterns. * Drive automation across deployments, monitoring, incident remediation, and operational processes to improve efficiency, quality, and reliability. * Implement robust DataOps practices, including data-contract enforcement, automated data-quality checks, and unit and integration testing. * Establish fine-grained data governance, lineage tracking, and security access controls across environments using Unity Catalog. * Define and manage Infrastructure as Code using Terraform and Azure DevOps for Databricks workspaces, compute clusters, serverless SQL warehouses, and storage integrations. * Build and maintain automated CI/CD pipelines using Databricks Asset Bundles, Databricks CLI, GitHub Actions, Azure DevOps, or GitLab. * Monitor compute consumption and costs, optimize cluster configurations, and implement cluster policies to promote efficient resource utilization. WHO YOU ARE:
WHO YOU ARE: * At least five years of experience in data engineering, DataOps, DevOps, or a comparable technical role. * Advanced hands-on experience with Python, PySpark, SQL, Git, and Databricks. * Strong experience with the Databricks ecosystem, including Delta Lake, Unity Catalog, and Databricks Serverless SQL. * Proven experience with Infrastructure as Code, preferably Terraform, and CI/CD tooling such as Databricks Asset Bundles, GitHub Actions, Azure DevOps, or GitLab. * Experience implementing data-quality controls, data contracts, automated testing, monitoring, and incident-management practices. * Strong knowledge of Azure cloud services, including security, networking, identity and access management, and storage integration. Experience with AWS or GCP is beneficial. Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here
Posting record
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- Live
- First seen by us
- Oct 13, 2026 · 17 days ago
- Recorded sightings
- 99
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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- Pay
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- Location & working pattern
Bengaluru, KA, IN
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