Role Description
Looking for a Data Quality Assurance Engineer to join a fast-paced development team and contribute in building enterprise-class Data Analytics platform
Duties and Responsibilities
Understanding of the entire application lifecycle.
Take bottom line of data quality data reconciliation at various stated of data pipeline
Build automated solutions for QA
Solve problems independently working with new technologies to create quick solutions.
Develop fast proof-of-concepts to explore opportunities in a specific area.
Ensure deliverables are on time and meeting the required quality timeline.
Create well-written technical documentation for test strategy design
Requirements and Qualifications
3- 7 years of experience in ETL Data quality assurance
Experience in working in Big Data /HDFS environment
Experience in QA automation
Strong expertise in ANSI SQL and good experience in data analysis, trouble shooting
Experience in Talend ETL Azure Technologies - ADF, Azure Data Lake Gen, Databricks - would be an added advantage
Keen eye for detail and attention towards enterprise level performance quality
Knowledge and experience in developing software using agile methodologies
Has the ability to operate with a limited level of direct supervision
Keyskills: Data analysis Manager Quality Assurance Test strategy Software development Reconciliation Agile Data quality ANSI SQL Technical documentation
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.