14 Sep
|
Talentzo Delhi
|
India
14 Sep
Talentzo Delhi
India
Responsibilities
Build and maintain data pipelines using Azure Databricks.
Process large datasets with PySpark and Spark SQL.
Develop ETL/ELT workflows from multiple data sources.
Optimize data quality, performance, and cost.
Manage Delta Lake, notebooks, and Databricks workflows.
Collaborate with data and business teams.
Work with Azure services like ADLS and ADF.
Preferred candidate profile
Solid experience with Azure Databricks and Databricks.
Expertise in PySpark, Spark SQL, and distributed processing.
Good knowledge of Delta Lake and Lakehouse architecture.
Experience with Azure Data Factory, ADLS, and Azure DevOps is a plus.
Solid understanding of ETL/ELT and data modeling.
Good troubleshooting and performance optimization skills.
Robust analytical and problem-solving abilities.
📌 Databricks Developer An It Service Company Bengaluru (India)
🏢 Talentzo Delhi
📍 India