Posted on: 29/05/2026
WFO 3 days
Requirements :
- Experienced in working on ELT projects/lakehouse architecture
- Must have worked on semi structured data
- Reading & Manipulating Parquet/Avro/CSV files using Pyspark/python
- Reading & flattening of nested Json files using Pyspark/python
- Working knowledge on creating Dataframes & validate the same with source data
- Strong knowledge and experience in Databricks
- Running & monitoring jobs
- Creating Reusable validation Notebooks
- Knowledge in Spark SQL
- Knowledge in creating REPOS/Workspaces
- A good understanding of cloud technology Azure Cloud Platform (ADLS/ADLS Gen2)
- Strong working Knowledge in Snowflake.
- Must have in-depth knowledge of data reconciliation process
- Experience in Banking domain would be good to have
- Excellent communication skills
- Practical experience of testing in an Agile approach (JIRA/Confluence)
- Good to have knowledge on any IDE/Branching Strategy (GITHUB)/Automation using BDD
- Strong SQL skills with experience in writing complex & advanced data validation SQL's
- CTE
- Views
- Windows/Aggregate/String functions
- Subqueries
- Regular Expressions etc.
Did you find something suspicious?
Posted by
Posted in
Quality Assurance
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1640005