Etl Test Lead - Immediate Joiners

Location - Coimbatore

Interview - Face to Face

Interview Date - 11th Oct'25

Interested Candidates kindly share the below details to Vaishnavi@gds.ey.com

Total years of experience

Current CTC

Expected CTC

Notice Period

Available to take Face to face interview on 11th Oct

Contact Number

Updated Resume

Vaishnavi - 9384017399

Vaishnavi@gds.ey.com

Role & responsibilities

As a Data Analytics Test Lead, you will be responsible for testing Business Intelligence & Data warehousing Solutions both in on premise and cloud platform and should ensure Quality of deliverables. You will work closely with Test Manager for the Projects under Test. Testing proficiency in ETL, data-warehousing, and Business Intelligence area are required for this position.

Added advantage to have experience in testing Big Data/unstructured data using Hadoop/Spark framework, cloud platform knowledge either in AWS/Azure, knowledge in predictive analytics, Machine Learning and Artificial intelligence.

Preferred candidate profile

• BE/BTech/MCA/M.Sc
• Overall 8 -18 years of experience in Testing Data warehousing / Business Intelligence solutions, minimum 3 years of experience in Testing BI & DWH technologies and Analytics applications.
• Strong in Data warehouse testing - ETL and BI and having exposure to the reporting tools such as Cognos/PowerBI/Tableau/Qlik etc
• Exposure to one or more ETL tools such as Informatica, SSIS, SAP Data services, AWS Glue, Azure Data factory
• Strong SQL skills with experience in writing complex data validation SQLs on databases like Oracle/ SQL Server/ Teradata / Snowflake/Postgres/Redshift
• Proficiency in data services of any leading cloud providers like AWS, Azure, GCP and thorough knowledge on data platforms like Databricks, Azure synapse
• Validate data integrity and consistency across various stages of ETL pipelines.
• Experience in master data management (MDM) is added advantage
• Working experience with python data processing is desirable.
• Work with cross-functional teams to ensure that ETL solutions meet business needs and quality standards.
• Experience in Bigdata testing with Hadoop/Spark framework and exposure to predictive analytics testing is desirable