BENGALURU · FULLTIME
ETL Test lead

Infosys
Bengaluru · onsite · Posted 12d ago
Sourced from
Undisclosed5–8 yrsfulltimeBengaluru
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Section · 01
About this role
Roles & ResponsibilitiesStrong 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.
Technical RequirementPrimary skills:Technology->Data Services Testing->Data Warehouse Testing,Technology->ETL & Data Quality->ETL - Others
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Preferred SkillsTechnology->ETL & Data Quality->ETL - Others,Technology->Data Services Testing->Data Warehouse Testing
Service LineInfosys Quality Engineering
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.
Technical Requirement
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Preferred SkillsTechnology->ETL & Data Quality->ETL - Others,Technology->Data Services Testing->Data Warehouse Testing
Service LineInfosys Quality Engineering
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Section · 02
Skills
data qualityAutomationAgileCI/CD Pipelinesdata servicesAb Initiobi toolsamazon web servicesredshiftbigqueryComplex Queriesdata reconciliationCloud DataAzure SynapseData MigrationcloudMicrosoft AzureBig Data
Section · Company
About Infosys

Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
Industries
IT Services & ConsultingConsulting
Employee ratings
48,765 reviews
3.5/ 5
Culture
3.6
Career growth
2.6
Work-life
3.6
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