Data Engineer
Summary
Senior Data Engineer (5–8 yrs) in Bangalore designing data ingestion pipelines on Azure — integrating and consolidating data from sources like SAP, SharePoint, SQL databases, APIs, and Salesforce into analytics-ready schemas using Azure Databricks, PySpark, Python, and SQL.
Role: Senior Data Engineer
Experience: 5 to 8 Years
Location: Bangalore
Notice Period: Immediate
Must Have : Data Bricks, Azure Cloud, Pyspark, Python, SQL, SAP S4, ECC, BW(functional knowladge), Data ingestion pipeline design for multiple source like sharepoint, SQL DB, API, SAP, SFDC etc.
- Proficiency in SAP data extraction tools and techniques, such as SAP Data Intelligence, SAP HANA, or SAP BW
- Utilize Azure data services and frameworks such as Azure Data Factory, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks.
- Integrate, transform, and consolidate data from structured, unstructured, and streaming data systems into suitable schemas for building analytics solutions.
- Proficiency in SQL and Python
- Understanding of database management systems.
- Knowledge of parallel processing and data architecture patterns
- 5-8 Years of experience
- BE/Btech