What are the responsibilities and job description for the Data QA Manager_Boston, MA (Local Candidates)_Only on W2 position at Chelsoft Solutions Co.?
Location: Boston, MA (Local candidates only)
Work Schedule: 4-day Onsite Role
Open Positions: 4-5
Employment Type: Contract (Preference given to Green Card holders and U.S. Citizens)
Position Overview
We are seeking an experienced Data QA Manager to join our team in Boston, MA. This role is integral in ensuring the highest standards of data quality across ETL processes, Data Warehousing, and Analytics platforms. As a Data QA Manager, you will lead initiatives to validate and improve data integrity, collaborate with cross-functional teams, and implement best practices in data quality assurance.
Key Responsibilities
Work Schedule: 4-day Onsite Role
Open Positions: 4-5
Employment Type: Contract (Preference given to Green Card holders and U.S. Citizens)
Position Overview
We are seeking an experienced Data QA Manager to join our team in Boston, MA. This role is integral in ensuring the highest standards of data quality across ETL processes, Data Warehousing, and Analytics platforms. As a Data QA Manager, you will lead initiatives to validate and improve data integrity, collaborate with cross-functional teams, and implement best practices in data quality assurance.
Key Responsibilities
- Data Quality Assurance:
- Develop and execute strategies for validating data across ETL pipelines, Data Warehousing systems, and Analytics platforms.
- Conduct root cause analysis and troubleshoot data quality issues to ensure accuracy and consistency.
- Define and enforce data quality metrics, benchmarks, and standards.
- Leadership:
- Lead and mentor QA teams, ensuring adherence to quality assurance methodologies and processes.
- Collaborate with development, data engineering, and analytics teams to establish robust QA workflows.
- Process Improvement:
- Optimize existing QA processes for data validation and testing in complex data ecosystems.
- Proactively identify opportunities to improve data quality, streamline workflows, and enhance system performance.
- Stakeholder Collaboration:
- Act as the primary liaison between business and technical teams to ensure data quality aligns with organizational goals.
- Communicate technical details to non-technical stakeholders effectively.
- Expertise in Data Quality: Proven hands-on experience with QA processes in ETL, Data Warehousing, and Analytics environments.
- Technical Skills:
- Proficiency in SQL, Python, and data validation frameworks.
- Familiarity with ETL tools, cloud platforms (e.g., AWS, Azure, or GCP), and Data Warehousing technologies.
- Analytical Skills: Strong analytical and problem-solving capabilities, with the ability to work in a fast-paced environment.
- Experience: Minimum of 5 years in data quality assurance, with a focus on large-scale data operations.
- Soft Skills: Excellent communication, leadership, and teamwork skills.
- Prior experience in leading QA teams in the data domain.
- Familiarity with CI/CD pipelines for QA automation.
- Certifications in Data Quality, Cloud Computing, or relevant domains.
