Role: Data Engineer
Location: Remote
Employment Type: Full time
Experience: 4-7 years

KEY
RESPONSIBILITIES

· Design and implement CI/CD pipelines for data
pipelines (ingestion jobs) and transformation projects (e.g., dbt on
Databricks, SQL, notebooks)

· Orchestrate Databricks jobs and workflows
end-to-end (ingestion, transformation, quality checks)

· Integrate automated testing into CI/CD,
including schema and contract checks for data models and tables

· Implement FinOps best practices to support
cost monitoring and allocation across the EDP

· Automate platform operations for Databricks
and related services, such as workspace and cluster provisioning, library and
runtime mgmt. and job deployment/config

· Implement and maintain identity and access
management for Databricks and supporting cloud resources, including workspace-
and cluster-level permissions, table- and view-level access controls (e.g.,
Unity Catalog or equivalent), service principals, groups, and roles for
automated workloads, and RBAC & TBAC models in collaboration with EDP
Architect





· Provide patterns, templates, and reusable
modules (Terraform modules, Airflow DAG patterns, Databricks job templates) to
accelerate onboarding of new projects

· Continuously evaluate and improve tooling,
pipelines, and platform architecture to increase reliability, security, and
developer productivity on Databricks

· Define the code promotion process to minimize
impacts across domains as code is promoted to production

· Manage end-to-end orchestration using managed
Airflow. Contribute to defining and tracking SLA/SLO/SLIs for the platform and
participate in incident response (triage, root cause analysis)

· Practical knowledge of IT Infrastructure
technologies, cloud computing Azure), cybersecurity, and disaster recovery.

· Working knowledge of Azure ecosystem,
including hands-on experience designing, building, and optimizing scalable data
pipelines within cloud-native environments.

QUALIFICATIONS

· Hands-o

📌 Data Engineer- DataBricks (Pune)
🏢 Palo Alto Labs
📍 Pune