Data Engineer / Senior Data Engineer
Embitel (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 24 Sept
Reach people at Embitel
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 Embitel 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 optimize scalable ETL/ELT data pipelines using PySpark and Databricks for large-scale automotive datasets.
- Utilize Azure data services (Data Lake, Synapse, Data Factory) for data ingestion, transformation, and processing in cloud environments.
- Develop interactive Power BI dashboards for engineering and business stakeholders to enable data-driven decisions.
Minimum Requirements
- Strong experience with PySpark, Databricks, and distributed data processing technologies.
- Hands-on expertise in Azure data services: Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse.
- Proficiency in SQL, Python, and data modeling is mandatory.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in automotive domain analytics or related automotive data engineering projects.
- Skilled in implementing CI/CD pipelines and DevOps practices for data workflows.
- Familiar with dashboarding using Power BI including DAX and real-time analytics integration.