7555 Data Quality Jobs - Page 16

Role Overview: We are looking for a hands-on Senior Data Engineer experienced in migrating and building large-scale data pipelines on Databricks using Azure or AWS platforms. The role will focus on implementing batch and streaming pipelines, applying the bronze-silver-gold data lakehouse model, and ensuring scalable and reliable data solutions. Required Skills and Experience: 6+ years of hands-on data engineering experience, with 2+ years specifically working on Databricks in Azure or AWS. Proficiency in building and optimizing Spark pipelines (batch and streaming). Strong experience implementing bronze/silver/gold data models. Working knowledge of cloud storage systems (ADLS, S3) and comput...

Customer Excellence Advisory Lead (CEAL) aims to enable customers to fully leverage their data by offering top-tier architectural guidance and design. As part of the Oracle Analytics Service Excellence organization, our team includes Solution Architects who specialize in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. Our main goal is to ensure the successful adoption of Oracle Analytics. We engage with customers and partners globally, building trust in Oracle Analytics. We also collaborate with Product Management to enhance product offerings and share our insights through blogs, webinars, and demonstrations. The candidate will collaborate with strategic FDI cu...

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, iden...

Why this role exists As AI systems scale rapidly across industries, the integrity and accuracy of testing, training, and evaluation data have never been more critical. TaskUs needs a proactive leader who can architect and uphold highquality annotation workflows so that AI models are built and evaluated on, reliable data without compromising on speed or efficiency. The impact youll make: Build and guide a high-performing team : Lead and mentor a team of Data Quality Analysts, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability. Ensure quality at scale : Develop and continually refine robust QA processes, SOPs, and statistical quality metri...

Proficiency in MDM tools and technologies such as Informatica MDM, CluedIn, or similar platforms. The ability to translate complex business requirements into practical MDM solutions is also necessary Required Candidate profile In-depth knowledge of data modelling, data governance, data quality, and data integration principles. Very strong stakeholder management skills

The ideal candidate will possess strong expertise in the SAP IS-Oil module, with hands-on experience in areas such as TD (Traders and Schedulers Workbench), HPM (Hydrocarbon Product Management), TSW, and integration with SD, MM, and other modules. Key Responsibilities: Implement, configure, and support SAP IS-Oil solutions (e.g., TSW, HPM, TD, DRA, SSR, etc.) Gather and analyze business requirements from stakeholders in the Oil & Gas domain. Design and configure solutions aligned with business needs and SAP best practices. Work on integration points between IS-Oil and SAP SD, MM, FI, PM, and other modules. Support full lifecycle implementations, rollouts, and upgrades. Troubleshoot and resol...

We are seeking a hands-on Data Engineer to own the data side of customer go-lives. You will validate and sign off on data migrations, develop high-quality SQL models that power BI dashboards, and implement automated data quality checks. Your work ensures data accuracy, trust, and performance across our analytics and migration platforms. Key Responsibilities Migration Validation: Design and execute end-to-end migration tests: row/aggregate parity, schema diffs, referential integrity, nullability, duplicates, and sampling. Produce migration sign-off packs documenting functional and performance validation. SQL Development & Optimization: Build and optimize analytical SQL models (CTEs, window fu...

As a Data Modeler at our company, you will play a crucial role in designing conceptual, logical, and physical models for Azure Databricks and Azure Data Lake to support structured, semi-structured, and unstructured data. Your responsibilities will include: - Utilizing your 6+ years of experience in data modeling, with a preference for insurance industry datasets such as policies, claims, customer, or actuarial data. - Demonstrating advanced skills in data modeling tools like Erwin, ER/Studio, PowerDesigner, or Microsoft Visio, and version control using GitHub. - Applying deep understanding of relational, dimensional, and data lake modeling techniques optimized for Databricks/Spark-based proc...

You are a strategic thinker passionate about driving solutions in business architecture. You have found the right team. As a Banking Book Product Owner Analyst in our Firmwide Finance Business Architecture (FFBA) team, you will spend each day defining, refining, and delivering set goals for our firm. You will partner with stakeholders across various lines of business and subject matter experts to understand products, data, source system flows, and business requirements related to Finance and Risk applications and infrastructure. **Key Responsibilities:** - Utilize Agile Framework to write business requirements in the form of user stories to enhance data, test execution, reporting automation,...

As a Senior Architect - Data & Cloud at our company, you will be responsible for architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. You will need to have more than 15 years of experience in Technical, Solutioning, and Analytical roles, with 5+ years specifically in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud platforms like GCP, AWS, or Azure. Key Responsibilities: - Translate business requirements into functional and non-functional areas, defining boundaries in terms of Ava...

At Oracle Cloud Infrastructure (OCI), you will be part of a diverse team of creators and inventors shaping the future of cloud for Enterprises. Acting with the speed and attitude of a start-up, while benefiting from the scale and customer-focus of one of the world's leading enterprise software companies. - Lead the development of large-scale datasets - Utilize machine learning and generative AI to advance Generative AI models - Drive the design of benchmarking frameworks - Define best practices for data quality and fairness - Partner with scientists, engineers, and product leaders to shape the organization's data strategy No additional details about the company are provided in the Job Descri...

As a Master Data Management (MDM) Architect at Fortrea, your role will involve shaping the future of the global data ecosystem. You will be a strategic data leader with a passion for data governance, canonical modeling, and MDM platform architecture. This high-impact role is ideal for someone with deep data strategy experience and a passion for building future-proof platforms. **Key Responsibilities:** - Support the Product Owner, Data Quality, Governance, and MDM in defining the long-term technology vision for MDM, and interact with appropriate vendors and third parties - Act as the ARB representative for the MDM Platform, serving as the initial point of contact for inquiries related to the...

Role Overview As a Data Management Specialist in this full-time remote role, you will be responsible for the day-to-day management of data assets. This includes ensuring data governance, maintaining data quality, and overseeing master data management. Your role will also involve analyzing data to support business decisions and developing/implementing data management practices and policies. Key Responsibilities - Ensure data governance and maintain data quality - Oversee master data management - Analyze data to support business decisions - Develop and implement data management practices and policies Qualifications Required - Experience in Data Governance and Data Quality - Proficiency in Data...

Role Overview: You are accountable for developing, expanding, and optimizing Data Management Architecture, Design & Implementation under Singtel Data Platform & Management. Your responsibilities include designing, developing, and implementing data governance and management solutions, data quality, privacy, protection, and associated control technology solutions according to industry best practices. You will review, evaluate, and implement Data Management standards, primarily Data Classification and Data Retention across systems. Additionally, you will design, develop, and implement Automated Data Discovery rules to identify the presence of PII attributes. Your role also involves driving deve...

Role Overview: ZS is seeking a motivated and detail-oriented Information Protection Analyst to join the Data Governance team. In this role, you will be responsible for supporting the implementation and ongoing management of the data governance framework. Your primary focus will be on operationalizing governance policies, maintaining data quality, supporting data classification and discovery efforts, and ensuring that data is well-managed, secure, and compliant. As a Data Governance Analyst, you will play a crucial role in data stewardship, monitoring governance processes, and assisting with tool administration to promote trusted and governed data across the organization. Key Responsibilities...

KEY RESPONSIBILITIES Efficient & Reliable Independent Contributor Independently design and implement complex data science projects, from initial concept through final deployment. Solve critical business problems with minimal oversight, ensuring the delivery of high-quality, impactful solutions. Proactively identify and address potential issues or opportunities for improvement in existing models and processes. Leadership and Mentorship Mentor and provide technical guidance to junior data scientists and team members. Foster a culture of continuous learning and improvement within the team. Advanced Model Development and Generative AI Lead the design, development, and deployment of advanced pred...

Role & responsibilities Design, develop, and optimize data pipelines using PySpark and AWS services. Implement and manage data workflows, ETL processes, and schema validations. Ensure data quality, integrity, and consistency by applying validation frameworks (e.g., Deequ, Great Expectations). Work with data in different zones (raw, staging, curated) and implement partitioning, schema evolution, and governance best practices. Collaborate with analysts, data scientists, and cross-functional teams to deliver reliable and consumable datasets. Support data lineage, metadata management, and compliance requirements. Strong hands-on experience with PySpark & Python for ETL, data transformation, and ...

strong implementation experience with the Enterprise Data Governance applications and providing solution for Collibra components. Collibra DIC, Lineage Harvester, Data Quality, Data Privacy Strong hands-on experience with the Application Integration Required Candidate profile Automationwiththescriptinskillsinpython/UNIXscripting,Preferred to have AWS, Collibra Solution Lead/Architect Certifications,Align to the SDLC implementation with Agile Methodologies JIRA & Confluence

The Enterprise Data Management Technology Team brings together foundational strategic technology capabilities in data governance, data privacy, data retention and deletion, data quality, and automation, grounded in our data technology model that prioritizes data management. It employs a ground-breaking focus with development responsibilities for regulatory needs that deepen and expand data strategy, as we'll as core technical capabilities that cut across business lines and customer segments. Responsibilities: Infrastructure Management: Design, implement, and manage scalable, reliable infrastructure using cloud-native technologies and Infrastructure as Code (IaC) tools. Automation & CI/CD: De...

Develop test strategies, plans, and maintain automation test data Develop and continuously improve automated tests as new system features and enhancements are developed Execute automated tests and manage the resulting defect log through the point of defect fix validation Ensure the appropriate test environments and infrastructures are in place and kept up to date Identify and report to product teams questionable functions, performance concerns, and inconsistencies Document and mentor QA engineers in the use of the testing framework Assist in the identification, selection, and implementation of tools, technologies, and practices that support the overall QA process Contribute to accurate time ...

Skills - Snowflake, Apache Airflow, Terraform , DBT, Git, SQL, Spark and Python , Data Warehousing, CIi/CD Pipelines Key Responsibilities: Design, implement, and optimize data pipelines and workflows using Apache Airflow Develop incremental and full-load strategies with monitoring, retries, and logging Build scalable data models and transformations in dbt, ensuring modularity, documentation, and test coverage Develop and maintain data warehouses in Snowflake Ensure data quality, integrity, and reliability through validation frameworks and automated testing Tune performance through clustering keys, warehouse scaling, materialized views, and query optimization. Monitor job performance and reso...

Design, develop, and maintain scalable data pipelines using Snowflake. Create and optimize Snowflake data models (star/snowflake schemas). Develop ELT/ETL processes using tools such as DBT, Apache Airflow, or custom Python/SQL scripts. Ensure data quality, security, and governance are maintained across all Snowflake solutions. Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.

The Data Engineer 1 works on different projects of data engineering to support the use cases, data ingestion pipeline and identify potential process or data quality issues. The team also supports marketing analytic teams with analytical tools that enable our analytics and business communities to do their job easier, faster and smarter. The team brings together data from different internal & external partners and builds a curated Marketing analytics focused data & tools ecosystem. The Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need. Essential Job Functions Collaboration - Collaborate s with internal/external stakeholders to m...

Execute the business analytics agenda in conjunction with analytics team leaders Work with best-in-class external partners who leverage analytics tools and processes Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What you will bring Using data analysis to make recommendations to analytic leaders Understanding in best-in-class analytics practices Knowledge of Indicators (KPIs) and scorecards Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus In This Role As a DaaS Data Engineer, you ...

The Master Data Governance Sr. Data Quality Analyst plays a critical role in building and establishing Ralph Lauren s enterprise-wide data quality program. This position is responsible for driving the development, implementation, and continuous improvement of data quality initiatives that support the company s global operations. As part of the Master Data Governance Group, whose mission is to improve efficiency and lower business risks for Ralph Lauren business units through consistent, high-quality data, the Sr. Data Quality Analyst will help operationalize the global data governance strategy. This strategy aims to deliver accurate, consistent, and well-managed data through standardized pro...