Hands-on data engineering- Quality assurance experience in validating and supporting production data pipelines.
Strong SQL skills (design, tuning, troubleshooting) and experience working with relational and analytical data stores.
coding/scripting experience with Python (Java/Scala a plus).
Knowledge on Airflow.
CI/CD practices.
Experience leveraging AI tools (e.g., GenAI assistants) to improve productivity, with an understanding of secure and responsible usage.
Self-driven, delivery-focused, and comfortable working in a contract environment with clear milestones and timelines.
Curious and methodical—able to research new data sources, open-source tools, and ingestion patterns to propose practical approaches.
Strong operational mindset: observability, alerting, incident response, and continuous improvement to reduce pipeline failures.
Clear communicator with strong stakeholder management skills; able to surface risks early and provide crisp status updates.
Familiarity with domain areas such as Portfolio Management, Cyber Security, and ServiceNow reporting is a plus.
Qualifications:
Bachelor’s degree in computer science, Engineering, Information Systems, or related technical field (or equivalent practical experience).
Job Description:
ETL QA with strong knowledge of SQL and Vertica.
Solid understanding of DWH and data validation concepts.
Strong Data Analytical skills.
Basic knowledge of Micro Strategy and Tableau.
Good experience with any of the automation frameworks.
Knowledge of Airflow and Python will be helpful.
Strong communication and documentation skills.
Working knowledge of AI tools to improve productivity, analysis, and testing efficiency.