Strong experience in ETL Testing and Data Warehouse Testing.
Proficiency in SQL with the ability to write complex queries, joins, stored procedures, and data validation scripts.
Hands-on experience with ETL tools such as Informatica, Talend, DataStage, SSIS, Ab Initio, or similar.
Strong understanding of Data Warehousing Concepts, including Fact Tables, Dimension Tables, Star Schema, and Snowflake Schema.
Experience in validating source-to-target mappings.
Knowledge of data migration and data reconciliation techniques.
Experience working with relational databases such as Oracle, SQL Server, MySQL, PostgreSQL, or Teradata.
Strong understanding of SDLC, STLC, and Agile methodologies.
Experience with defect management tools like JIRA.
Preferred Skills
Experience with Cloud Data Platforms such as AWS Redshift, Snowflake, Azure Synapse, or Google BigQuery.
Exposure to Big Data Testing using Hadoop, Spark, or Databricks.
Knowledge of ETL automation tools and scripting using Python or Shell scripting.
Experience with data quality tools such as Informatica DQ or Great Expectations.
Familiarity with BI tools such as Power BI, Tableau, or Qlik.
Understanding of CI/CD pipelines and DevOps practices.
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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