Job Description
Strong experience in ETL testing and data warehouse concepts. • Hands-on expertise in Databricks (including notebooks, clusters, and jobs). • Proficiency in SQL for data validation and analysis. • Experience with big data technologies (Spark, PySpark, Delta Lake). • Familiarity with cloud platforms (Azure, AWS, or GCP) and their data services. • Knowledge of data modeling, data quality frameworks, and BI tools. • Strong analytical and problem-solving skills. • Excellent communication and documentation abilities.
ETL / Data Warehouse Testing: o Strong experience in DWH concepts (Facts, Dimensions, Star/Snowflake schema) o Hands-on data validation across large datasets • Databricks: o Experience validating data pipelines built on Databricks o Working knowledge of notebooks and Delta Lake concepts • SQL: o Strong proficiency in writing complex SQL queries (joins, subqueries, aggregations, window functions)
- Ability to perform large-volume data validation and reconciliation • Python (Basic to Intermediate): o Ability to read/write simple Python scripts for data validation, automation support, or log analysis
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.