Tech Stack
AWSAzureCloudGoogle Cloud PlatformInformaticaPySparkPythonSQLTableau
About the role
- Maintain the integrity, accuracy, and reliability of data throughout our enterprise data ecosystem.
- Design and implement scalable data quality frameworks.
- Drive governance initiatives and collaborate with cross-functional teams.
- Develop, implement, and sustain a comprehensive data quality framework.
- Operationalize the enterprise data governance framework.
- Identify and address data anomalies, inconsistencies, duplicates, and missing values.
- Conduct periodic audits to ensure ongoing data integrity.
- Partner with data engineers, architects, product teams, and analysts to define data quality requirements.
- Develop clear and actionable dashboards and reports to visualize data quality trends, KPIs, and issue resolution progress.
- Collaborate with data stewards and product owners to investigate and resolve data quality issues.
- Apply strong understanding of data models to evaluate and improve data structures and flows.
- Take ownership of assigned initiatives and execute plans effectively.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Minimum 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
- Strong hands-on experience with Databricks, PySpark, Python, and SQL.
- Proficiency in SQL, Python, and modern data pipeline tools.
- Familiarity with data governance and quality tools (e.g., Collibra, Informatica, Alation, Great Expectations).
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Strong understanding of BI and reporting tools such as Power BI, Tableau.
- In-depth knowledge of data lifecycle management, data lineage, and metadata management.
- Awareness of current and emerging data governance and data management best practices.
- Strong analytical and problem-solving mindset.
- Excellent communication and stakeholder engagement abilities.
- Proven capability to operate independently and deliver results in a dynamic environment.
- Equal Opportunity Employer
- Diverse teams and ideas
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data QualityData GovernanceData EngineeringDatabricksPySparkPythonSQLData Lifecycle ManagementData LineageMetadata Management
Soft skills
Analytical MindsetProblem-SolvingCommunicationStakeholder EngagementOwnershipCollaborationExecutionAdaptabilityIndependenceDynamic Environment