Senior Data Engineer
Flentas (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–30 LPA
Posted 16d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and integration solutions using Databricks and cloud technologies.
- Build and optimize ETL/ELT processes for large-scale data environments, focusing on performance, scalability, and reliability.
- Collaborate with business and technical stakeholders; provide ongoing support and enhancements for enterprise data platforms.
Minimum Requirements
- Hands-on experience with Databricks, PySpark, Apache Spark, and SQL.
- Experience building and managing ETL/ELT pipelines in cloud environments (Azure, AWS, or GCP).
- Knowledge of Delta Lake, Databricks Workflows, Unity Catalog, data modeling, and data warehousing concepts.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Skilled in cloud data platform development and support, particularly with Databricks and Azure technologies.
- Experienced in optimizing complex data pipelines for large-scale environments emphasizing data quality, governance, and security compliance.
- Comfortable working in Agile environments and coordinating with multiple stakeholders for data solution delivery.