Data Engineer with DataBricks
Capco, a Wipro company (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 14–22 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark on the Databricks Lakehouse Platform.
- Optimize ETL/ELT processes, Spark workloads, and develop high-performance data processing solutions for large-scale datasets.
- Collaborate with cross-functional teams to implement data models and enforce data quality, governance, and security standards.
Minimum Requirements
- 5+ years of experience in Data Engineering.
- Strong programming skills in Python and Scala.
- Hands-on experience with Databricks, Apache Spark, Spark SQL, DataFrames, Delta Lake, and Databricks Workflows.
- Experience with cloud platforms such as Azure Databricks, AWS Databricks, or GCP Databricks.
Ideal Candidate Profile
- Experienced in designing and optimizing complex ETL/ELT frameworks and big data workloads in cloud environments.
- Able to work effectively with structured, semi-structured, and unstructured data sources.
- Proficient in collaborative Agile environments involving Data Architects, Business Analysts, and Data Scientists.