Posted:15 hours ago|
Platform:
Work from Office
Full Time
Exp- 4 to 8yr
Location -Bengaluru
JD-
1. Databricks hands-on with Phyton / Scala.
2. Experience in Building / optimizing delta lake.
3. Spark SQL, Data Frames, and building reusable frameworks for reconciliation.
4. Better knowledge of Spark UI and long-running jobs troubleshooting / Optimization.
5. ETL tool experience Talend / Informatica.
6. 6-10 years of experience in full range of data engineering, covering best practices.
7. Fully conversant with big-data processing approaches and schema-on-read methodologies is a must.
8. Knowledge of Azure Data Factory pipeline/Databricks/Azure Data Lake/Azure DW/Database is a must.
9. Experience building and deploying a range of data engineering pipelines into production, including using DevOps automation best practices for CI/CD
10. Familiarity with databases and analytics technologies in the industry including Data Warehousing/ETL, Relational Databases, or MPP
11. Experience with performance tuning, troubleshooting, and debugging SparkTM and other big data solutions
Tata Consultancy Services
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