Azure Databricks Data Engineer
RARR Technologies Pvt. Ltd. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 8–16 LPA
Posted 1d ago
Reach people at RARR Technologies Pvt. Ltd.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at RARR Technologies Pvt. Ltd. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and lead scalable data pipelines and complex data solutions using Azure Databricks.
- Optimize Databricks cluster performance, job execution, workload throughput, and costs while monitoring data processing workflows for quality and reliability.
- Drive automation and CI/CD processes for Databricks pipelines and contribute to the data platform roadmap through architectural discussions.
Minimum Requirements
- Experience designing and developing ETL/ELT processes and data pipelines using Azure Databricks.
- Proven ability to optimize cluster performance and manage workload costs in Databricks environments.
- Work Experience Required: Not explicitly mentioned in the JD.
- Familiarity with data governance, security, and regulatory compliance in data engineering contexts.
Ideal Candidate Profile
- Experienced in cross-functional collaboration with data engineers, architects, and teams for data integration and transformation.
- Capable of mentoring and guiding junior team members on Databricks best practices and development techniques.
- Strategic contributor who stays current with Azure Databricks features and industry best practices and influences platform automation and architecture.