Freelance Data Quality Automation

3 weeks ago

New Delhi, India Leading MNC Full time

Looking for a Freelance Data Quality Automation to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. of experience.There are multiple openings. If you're looking for freelance/ part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2025.Key Responsibilities- Design, develop, and maintain automated test frameworks for data pipelines and ETL workflows. - Implement data validation and quality checks using Great Expectations and custom Python scripts. - Collaborate with Data Engineers to ensure data consistency, accuracy, and performance across Databricks and Snowflake environments. - Develop and execute PySpark-based test cases to validate data transformations and processing logic. - Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, or GitLab CI). - Monitor, troubleshoot, and improve data validation processes to ensure end-to-end data quality. - Work closely with cross-functional teams to define data testing strategies, validation metrics, and reporting dashboards.Required Skills & Qualifications- Proficient in Python (for scripting, data processing, and automation). - Hands-on experience with PySpark for large-scale data validation and transformation testing. - Strong understanding of Databricks workflows and Snowflake data warehousing. - Practical experience with Great Expectations for data quality checks. - Familiarity with CI/CD tools (GitHub Actions, Jenkins, GitLab, or Azure DevOps). - Good understanding of ETL processes, data pipelines, and data modeling. - Experience in Automation Testing and test-driven data development practices. - Excellent debugging, documentation, and communication skills.Preferred Skills- Experience with Airflow or other orchestration tools. - Exposure to AWS, Azure, or GCP data ecosystems. - Knowledge of SQL optimization and data performance tuning. - Familiarity with containerization tools (Docker, Kubernetes) is a plusWhat we need-~35 hours of work per week.-100% remote from our side-You will be paid out every month.-Min 4yrs of experience-Please apply only if you have a 100% remote job currently-If you do well, this will continue for a long time

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