Data Quality Strategist

1 day ago

Tiruchi, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Assurance Specialist

Ambitious and innovative professionals are invited to apply for a challenging role in data quality assurance.

The successful candidate will take on a leadership position, specializing in data quality assurance for software applications. As a Data Assurance Specialist, you will be responsible for leading and managing data quality assurance efforts within an organization.

You will work closely with cross-functional teams to develop and implement comprehensive data quality strategies aligned with organizational objectives. Your key responsibilities will include defining standards and best practices for data quality assurance processes, profiling and analyzing data across systems to identify issues related to accuracy, completeness, consistency, and timeliness, and establishing and enforcing data quality assurance processes.

Key Responsibilities:

  • 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.

Requirements:

  • 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.

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