Job Description

"Overview Work closely with Data Analyst, Architects to achieve DQ objectives Validating data pipelines and ensuring the quality of datasets Collaborate with the Data Delivery technology teams and architects to define and develop solutions Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation Formulate and actively develop test cases, test scripts, and output report specifications for data remediation projects Maintain up-to-date documentation for the Data quality audits and processes Manage and provide data quality control and perform deep-dive analysis of data, identifies problems, root cause, and solution Able to integrate data QA automation using DQ tools Should be able to research new tools and technologies for project Come up with innovations which team can get benefit from Mentor QA team and Provide solutions to team issues Troubleshooting skills to optimize performance Leads a team of 8 data QA and own and prioritizes work allocation based on business need Provides regular coaching and feedback to direct reports Responsibilities 7+ Years of Experience in Data Test Automation, Data Comparison and Validation Must have experience in ETL/ELT tools and pipeline Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL Strong understanding of Data Warehouse/Data Lake Architecture and Development Experience with relational SQL and NoSQL databases Good knowledge of SQL, DB Procedures, Packages, and Functions Experience with data pipeline and workflow management tools Experience working with relational databases Experience with AWS cloud services EC2, EMR, RDS, Redshift Experience in SQL injection, and query performance (Athena) Must have CI/Cd knowledge Knowledge of bit bucket/git Excellent interpersonal and communication skills Qualifications Additional Skills Be tool agnostic and recommend new processes and techniques to improve the capability of testing for our clients Good analytical, Problem-solving skills and communication skills Leadership/mentorship experience Demonstrate motivation, ownership, compassion, and leadership capabilities within the Team Able to communicate feedback articulately Has analytical way of thinking NICE TO HAVE Understanding of data observability tools like Great expectation, Light Up etc Understanding of Cloud Technologies in AWS or Azure Experience in advanced Excel Experience in data integration tools like Power BI, Datadog, Altan etc Good analytical, Problem-solving skills and communication skills Leadership/mentorship experience Demonstrate motivation, ownership, compassion, and leadership capabilities within the Team Able to communicate feedback articulately Has analytical way of thinking NICE TO HAVE Understanding of data observability tools like Great expectation, Light Up etc Understanding of Cloud Technologies in AWS or Azure Experience in advanced Excel Experience in data integration tools like Power BI, Datadog, Altan etc pngresponsibilities7+ Years of Experience in Data Test Automation, Data Comparison and Validation Must have experience in ETL/ELT tools and pipeline Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL Strong understanding of Data Warehouse/Data Lake Architecture and Development Experience with relational SQL and NoSQL databases Good knowledge of SQL, DB Procedures, Packages, and Functions Experience with data pipeline and workflow management tools Experience working with relational databases Experience with AWS cloud services EC2, EMR, RDS, Redshift Experience in SQL injection, and query performance (Athena)