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Data Engineer - Azure Databricks
Data Engineer - Azure DatabricksPetals Careers Pvt.Ltd • Bangalore
Data Engineer - Azure Databricks

Data Engineer - Azure Databricks

Petals Careers Pvt.Ltd • Bangalore
3 days ago
Job description

Description :

We are seeking a Databricks Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on the Databricks Lakehouse Platform. You will be responsible for transforming raw data into high-value datasets that power analytics, AI / ML models, and business insights. We're looking for a dynamic, self-motivated, and proactive leader who thrives in a fast-paced environment and can foster a high-performing :

  • Develop scalable ETL / ELT pipelines using PySpark, SQL, and Delta Lake.
  • Build and maintain batch and stream data pipelines using Databricks Workflows.
  • Design and implement Lakehouse architecture and optimize Delta Lake tables.
  • Integrate data from multiple sources, including APIs, databases, cloud storage, and third-

party platforms.

  • Ensure data quality and reliability using Delta Live Tables, expectations, and monitoring tools.
  • Work with CI / CD pipelines using Git, Databricks Repos, and DevOps tools.
  • Implement governance, security, and compliance standards (Unity Catalog, lineage, RBAC).
  • Requirements :

  • Strong knowledge of data modeling, data warehousing concepts, and Lakehouse Strong experience with Databricks, PySpark, Apache Spark, and SQL.
  • Hands-on with Delta Lake, Databricks Workflows, Unity Catalog.
  • Experience building scalable pipelines on Azure, AWS, or GCP.
  • Solid understanding of distributed systems and performance optimization.
  • Experience with streaming frameworks (Structured Streaming, Kafka, Auto Loader).
  • Passion for problem-solving, both technical and User-centric mindset focused on building delightful software experiences
  • Lead by example : implement best practices and maintain high-quality code standards
  • Nice to have skills :

  • Databricks certification (Data Engineer Associate / Professional).
  • Experience with ML workflows and feature engineering.
  • Hands-on with Databricks Photon, serverless SQL, and optimization techniques.
  • Familiarity with BI tools (Power BI, Tableau, Looker).
  • (ref : hirist.tech)

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