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Job Description & How to Apply Below
This position requires a strong understanding of data quality principles, excellent analytical and problem-solving skills, and the ability to communicate effectively with both technical and non-technical stakeholders.
Required Skills:
- Bachelor's degree in Computer Science, Information Management, or a related field.
- 12+ years of experience in data quality analysis, data management, or a related field.
- Strong understanding of data quality principles, methodologies, and tools.
- Proficiency in SQL and data analysis techniques.
- Experience with data warehousing and business intelligence concepts.
- Experience with AWS Glue Data Quality, Dynamo
DB, Athena, Data Zone, Sage Maker, Redshift, S3, Lambda, Step Functions, Spark SQL, PySpark etc.
- Experience with data profiling, data cleansing, and data validation tools. (e.g., Informatica, Collibra, Alation, Great Expectations).
- Proven proficiency within a BI platform (e.g. Microsoft Power BI, Tableau) preferred.
- Experience with data governance frameworks and regulations (e.g., GDPR, CCPA) is a plus.
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.
- Experience with scripting languages (e.g., Python, R) is a plus.
- ETL and streaming data orchestration experience a plus.
- Detail and quality-oriented individual with the ability to rapidly learn and take advantage of new technical concepts and technologies.
- Ability to manage multiple concurrent projects while strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Excellent analytical and problem-solving skills.
- Organized, process driven, and enjoys the challenge of documentation.
- Team-oriented, collaborative worker while still being able to work independently.
- Demonstrated technical skills, knowledge and experience helping others to deliver products utilizing programming/systems environments and concepts.
- Experience with issue escalation, resolution and monitoring as well as communicating project risks.
- Experience with task prioritization and delegation.
- Effective verbal and written communication skills.
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