Azure Services
Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Storage (ADLS Gen2)
Azure SQL Database / SQL Server
Azure Synapse Analytics (preferred)
Programming & Querying
PySpark
Spark SQL
SQL (Advanced)
Python
Data Engineering
ETL/ELT Development
Data Modeling
Performance Tuning
Data Warehousing Concepts
DevOps & Version Control
Azure DevOps
Git/GitHub
Design and develop ETL/ELT pipelines using Azure Data Factory (ADF).
Build and optimize data processing workflows using Azure Databricks (PySpark/Spark SQL).
Integrate data from various sources such as SQL Server, Azure SQL, ADLS, APIs, and third-party applications.
Implement data transformation, cleansing, and validation processes.
Develop and maintain data lakes and data warehouse solutions on Azure.
Monitor and troubleshoot pipeline failures, performance bottlenecks, and data quality issues.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Implement security, governance, and best practices for data management.
Create technical documentation and support deployment activities.
Required Skills
Azure Services
Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Storage (ADLS Gen2)
Azure SQL Database / SQL Server
Azure Synapse Analytics (preferred)
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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