Roles Responsibility
Experience in Create and execute strategies and test cases for applications that use ETL components based on mapping artifacts
Data mining and detailed data analysis on data warehousing systems
Hands on experience in relational databases and database architecture
Expert in Database testing with excellent PL SQL skills and queries
Strong in formulating SQL queries for validation of data
Strong knowledge on Data Warehouse and testing concepts
Experience validating data mapping, selection criteria, aggregations, sorting, lookups, transformations, data loads
Good knowledge in SQL Concepts and analyzing Store procedures.
Good communication
Skills Required:
6 years of Data testing experience
Responsible for overall testing of all the ETL and data solutions built over on-premises as well as cloud environment (Azure). This includes understanding the requirements, creating test cases/test plans, executing test cases, reporting bugs, working with developers on resolutions of issues and re-testing the bugs for closure
Create and maintain the QA reports for bugs reported and overall quality status Works with Production Operations to improve
Very strong scripting (python, Unix etc.) background to automate performance qualifications
Strong T-SQL programming skills or with any other flavor of SQL
Experience working with high volume data, large objects, complex data transformations
Good understanding of data modelling for data warehouse and data marts
Should have experience on Big data components like HIVE, Sqoop, HDFS, Spark
Strong verbal and written communication skills
Ability to learn, contribute and grow in a fast phased environment
Good to Have
Experience in Data engineering projects using Microsoft Azure platform
Understanding data engineering solutions using Azure Data Lake, Azure Data Factory, Azure Data Bricks, Azure ADLS Gen2, Blob storage, Azure Synapse analytics
Experience using Jira and ServiceNow in project environments
Keyskills: Unix Engineering services Data analysis Production operations PLSQL data mapping Data mining JIRA Analytics Python
As VITO wants to accelerate the transition to a sustainable world, we work in India, where fast transitions are taking place and where we can have an impact. We have undertaken research projects in collaboration with India since 2007, starting with bio-economy and green chemistry.