Data Quality Engineer

Data Quality Engineer

Requirements

• 6-10 years of experience in software development and data engineering roles. Experience in implementing data-driven applications and data quality controls is preferred
• Bachelor’s degree in computer science, Engineering, or a related technical field
• Demonstrated experience leading data initiatives within engineering teams, preferably in the financial services or healthcare services
• Hands on programming experience (5+ years) developing application using Java, Python or Scala
• Strong experience in building and deploying containerized applications using Docker, Kubernetes, or OpenShift
• Proficiency in big data processing frameworks such as Apache Spark, Hadoop, Databricks, or equivalent technologies
• Familiarity with CI/CD practices and tools (e.g., Jenkins, Git, Bitbucket) for automated testing, integration, and deployment
• Experience or exposure to APIs and Data Streaming using Kafka etc.
• Exposure to cloud platforms (AWS, GCP, or Azure) and cloud certifications (preferred but not required)
• Familiarity with AI/ML tools and ability to apply them in data quality and data management contexts
• Strong communication skills with the ability to effectively engage with technical teams and stakeholders

Responsibilities

• Maintain the product roadmap, and clearly communicate goals, roles, responsibilities and desired outcomes throughout the company
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Develops strategies and guidelines for the definition and maintenance of Data Profiling, Data Quality Rules, configuration, and implementation of Data Quality controls.
• Develop strategies for effective monitoring, dispositioning and remediation of DQ breaks using automation based on trends and predictive triggers
• Fully understands strategies and guidelines for the definition and maintenance of Business Glossaries, and Data Quality Requirements (DQR).
• Fully understands strategies and guidelines around data ownership, data at rest and in motion, and data models including Conceptual, Logical and Physical views.
• Fully understands strategies and guidelines around the designation of Authority Roles for Systems of Record and Authorized Redistributors (SOR/AR) for data offerings.
• Directs and approves the development of business requirements for line of business (LOB) specific and enterprise-wide capabilities supporting DQ and communicates such requirements to appropriate technology teams via key business requirements, or related means including agile methodology.
• Develops training programs to assist LOB groups in utilization and adoption of tooling capabilities addressing DQ.
• Oversees data integration and metadata migration activities and User Acceptance Testing (UAT) for DQ tooling functionality delivery.
• Approves moderately complex dashboards and reports to satisfy management oversight of DQ within the rollout of the Data Operating Model (DOM).
• Applies comprehensive understanding of concepts and procedures around Enterprise Data Taxonomy and Controlled Vocabularies within own area and basic knowledge of other areas to resolve issues that have impact beyond own area.
• Works with Project Management Office (PMO) to maintain, create and signoff of program plan and charter, benefits management plan, stakeholder management plan, acceptance plan, and central program issue log.
• Responsible for reporting findings, and recommending appropriate technology interventions, where needed.
• Make appropriate tradeoffs to optimize time-to-market
• Appropriately assesses risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
• Performs other job duties and functions as assigned.

Preferred Qualifications

• Experience in implementing data-driven applications and data quality controls is preferred
• Exposure to cloud platforms (AWS, GCP, or Azure) and cloud certifications (preferred but not required)