Data Quality Lead/Manager/Consultant/EngineerLocation – Cupertino CA/3 days in a week hybrid onsiteLog Term contractRate – 70/hr - W2Job DescriptionWe are looking for a data analytics engineer (Data Quality or Data Management or Data Remediation background) with the following expertise:Core Professional Competencies• Communication: Clearly communicates technical work to diverse audiences, verbally and in writing.Participates in peer reviews and team discussions with clarity and purpose.• Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.• Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.• Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities.
Demonstrates curiosity and critical thinking.• Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.Data Engineering Expertise (5+ years)• Experienced in building and maintaining data pipelines (ETL/ELT)• Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)• Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake• Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)• Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)Data Infrastructure & Management (5+ years)• Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)• Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)