Pune, Maharashtra, India
Information Technology
Full-Time
Birlasoft
Overview
Area(s) of responsibility
Develop scalable data processing solutions using Azure Databricks, ensuring efficient data workflows and optimized performance.
Develop scalable data processing solutions using Azure Databricks, ensuring efficient data workflows and optimized performance.
- Build and maintain ETL/ELT pipelines, leveraging PySpark/Spark and SQL to transform and process large datasets.
- Implement data security, access controls, and governance standards, ensuring data quality and integrity throughout ETL processes
- Cloud Lead with experience in Azure ADF, Databricks, PySpark
- Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud
- Experience in Azure Databricks and ADF, Azure Synapse and PySpark
- Experience with integration of different data sources with Data Warehouse and Data Lake is required
- Experience in creating Data warehouse, data lakes for Reporting
- Understanding of data modelling and data architecture concepts
- To be able to clearly articulate pros and cons of various technologies and platforms
- Define and implement cloud governance and best practices.
- Identify and implement automation opportunities to increase operational efficiency.
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