
Senior Data Quality Assurance Specialist
1 day ago
Job Summary
","We are seeking a seasoned professional to oversee data quality assurance efforts within an organization, working on one or more software and data products.
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- Develop and implement a comprehensive data quality strategy aligned with organizational objectives.","
- Define standards and best practices for data quality assurance processes.","
- Lead efforts to profile and analyze data across systems to identify issues related to accuracy, completeness, consistency, and timeliness.","
- Establish and enforce data quality assurance processes, including data validation, cleansing, and monitoring.","
- Design and implement data quality checks and controls.","
- Define key performance indicators (KPIs) to measure data quality.","
- Generate regular reports on data quality metrics and trends for stakeholders.","
- Maintain documentation on data quality issues, resolutions, and improvements.","
- Lead and mentor a team of data quality analysts or engineers.","
- Provide guidance on data quality best practices and ensure the team's professional development.","
- Maintain comprehensive documentation of data quality procedures, processes, and standards.","
- Provide training to teams involved in data-related activities to promote a data quality mindset.","
- Collaborate with technology teams and architects to define and develop solutions.","
Required Skills and Qualifications
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- 10+ Years of Experience in Data Test Automation, Data Comparison and Validation.","
- Strong understanding of data structures, databases, DB Procedures, Packages, and Functions, and data manipulation techniques.","
- Familiarity with data quality tools and platforms for profiling, cleansing, and monitoring data.","
- Proficient in SQL and scripting languages for data analysis and validation.","
- Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL.","
- Strong analytical skills to identify and solve data quality issues.","
- Excellent communication skills to interact with cross-functional teams and stakeholders.","
- Leadership skills to guide and inspire a team focused on data quality.","
- Strong understanding of Data Warehouse/Data Lake Architecture and Development.","
- Experience with data pipeline and workflow management tools.","
- Experience in project management, including planning, execution, and monitoring of data quality initiatives.","
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.","
- Experience in SQL injection, and query performance (Athena), Machine Learning.","
- Must have CI/CD, bit bucket/git knowledge.","
- Excellent interpersonal and communication skills.","
- Familiarity with online retail (e-commerce).","
Nice to Have Skills
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- Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases.","
- Proficiency in data visualization tools (e.g., Tableau, Power BI).","
- Awareness of data security principles and practices.","
- Understanding machine learning concepts.","
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.","
- Experience working in an ecommerce company.","
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