Specialist - Quality Engineering

5 years of experience in QA with a specific focus on big data quality assurance and analytics

Proficiency with big data tools particularly Google BigQuery and experience with SQL for data validation

Experience with ETL process validation ensuring data accuracy and consistency across stages

Familiarity with cloud environments GCP AWS and understanding of how data is ingested transformed and queried within these ecosystems

Strong analytical skills to detect data discrepancies troubleshoot issues and maintain data integrity across highvolume datasets

Excellent communication skills to convey data quality insights to both technical and nontechnical stakeholders

Handson experience with data quality tools monitoring frameworks and scripting languages eg Python Shell scripting to automate QA tasks

Experience with data pipeline tools eg Apache Beam Dataflow Spark

Knowledge of Agile methodologies JIRA and Confluence

Previous experience with BI tools Tableau Looker for validating data used in business intelligence reporting

Background in media or entertainment industries and familiarity with streaming analytics

GenAI Responsibilities Must Have Skills Combined

Claude is mandatory hands on to createoptimize data validation rules queries reconciliation logic and analysis summaries

Automate data validation to reduce manual effortd

Implement AI to shift data validation from manual checks to automated and intelligent analysis frameworks

Use GenAI for anomaly detection trend analysis and data quality insights to speed up triage and root cause identification

Build RAG enabled support using data dictionaries pipeline specs historical defects to keep AI outputs accurate

Familiarity with Agentic AI frameworks for automated workflows metadata fetch validation summary next action

Hands on Docker to package and run validation utilities reliably across environments

Strong Big Data testing fundamentals ETLELT validation schema checks reconciliation and data quality dimensions