Data Quality Engineer Job in Hyderabad at Dun & Bradstreet India Pvt Ltd

Dun & Bradstreet is hiring for the role of Data Quality Engineer!

Responsibilities of the Candidate:

• Execute a comprehensive data quality monitoring strategy that aligns with the organization's Data Quality Standards and business objectives.
• Develop a strong understanding of Dun & Bradstreet’s inventory data.
• Perform baseline data quality monitoring to proactively identify data quality issues metrics.
• Employ advanced data analysis and profiling techniques.
• Automate data quality monitoring solutions and internal processes.
• Operate within data models which ensures the data is stored in an organized structure.
• Utilize PowerBI and/or Looker to design, create, connect, and administer dashboards that derive insights from data quality monitoring results.
• Execute a robust data validation framework with automated testing processes.
• Communicate with the globally distributed stakeholders using JIRA and Confluence.
• Capture requirements accurately and seek a strong understanding of use cases.
• Recommend improvements to the data quality team’s internal processes.
• Generate regular reports on data quality metrics.
• Review data to identify patterns or trends that may indicate errors in processing.
• Maintain comprehensive documentation of data quality processes and findings.
• Comply with data governance policies and procedures.
• Educate yourself on industry best practices and technologies related to data.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2+ years of experience and demonstrated in-depth knowledge of data analysis, querying languages, data modeling, and the software development life cycle.
• Strong skill in SQL (preferably BigQuery).
• Agile mindset and understanding of agile project management (Scrum/Kanban).
• Understanding of Database design, modeling, and best practices.
• Experience with cloud computing technologies (preferably GCP).
• Experience with PowerBI, Looker, or similar data visualization tools.
• Analytical, process improvement, and problem-solving skills.
• Good communication skills and the ability to articulate data issues and solutions.
• Commitment to meet deadlines and uphold the release schedule, and role model good teamwork for colleagues.
• Skill in Python and/or Scala for data wrangling and data analysis.
• Understanding of DevOps best practices including CI/CD, automation, monitoring, observability, agile project management, version control, and continuous feedback.
• Experience with data observability tools such as Acceldata or Informatica DQ.
• Experience with XML and JSON data structures.
• Understanding of ETL processes and their impact on data quality.
• Knowledge of Machine Learning, specifically anomaly detection.
• Experience collaborating across time zones as part of a global team.
• Dynamic and results-driven team members with a focus on facilitating action and effecting change.
• An innovative and inspirational approach.
• Self-motivation with the desire to learn new techniques – relentless curiosity.
• Ability to prioritize work with a flexible approach to balancing multiple tasks.
• Ability to work independently.
• A great team player.