QA Data - Lead

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 withinnovations 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.
• Have team management experience
• Knowledge of Atlassian products like Jira & Confluence