11254 Data Quality Jobs - Page 35

Design and execute test plans and test cases for ETL processes and data flows on Cloud Validate data extraction, transformation, and loading (ETL) processes from source to target systems. Write and execute complex SQL queries to perform data validation, reconciliation, and analysis. Identify, document, and track defects and data quality issues using QA tools and processes. Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage. Perform regression, integration, and system testing on ETL workflows and jobs. Automate repetitive testing using SQL scripts, data validation tools, or test frameworks. Ensure testing is aligned ...

Design and execute test plans and test cases for ETL processes and data flows on Cloud Validate data extraction, transformation, and loading (ETL) processes from source to target systems. Write and execute complex SQL queries to perform data validation, reconciliation, and analysis. Identify, document, and track defects and data quality issues using QA tools and processes. Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage. Perform regression, integration, and system testing on ETL workflows and jobs. Automate repetitive testing using SQL scripts, data validation tools, or test frameworks. Ensure testing is aligned ...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake. Implement data transformation workflows using DBT (Data Build Tool). Write efficient, reusable, and reliable code in Python. Optimize and tune data solutions for performance and scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Stay updated with the latest industry trends and technologies in data engineering. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role. Stron...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake. Implement data transformation workflows using DBT (Data Build Tool). Write efficient, reusable, and reliable code in Python. Optimize and tune data solutions for performance and scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Stay updated with the latest industry trends and technologies in data engineering. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role. Stron...

ETL Tester is responsible for validating the accuracy, completeness, and reliability of data as it moves through the Extract, Transform, Load (ETL) process They ensure that data integration workflows and pipelines meet business and technical requirements through rigorous testing and quality assurance practices ETL Testers play a critical role in maintaining data integrity in data warehousing, business intelligence, and analytics environments. Analyze business requirements and data mapping documents to design test cases for ETL processes. Develop and execute test plans, test cases, and test scripts for validating data extraction, transformation, and loading. Perform source-to-target data vali...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake. Implement data transformation workflows using DBT (Data Build Tool). Write efficient, reusable, and reliable code in Python. Optimize and tune data solutions for performance and scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Stay updated with the latest industry trends and technologies in data engineering. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role. Stron...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake. Implement data transformation workflows using DBT (Data Build Tool). Write efficient, reusable, and reliable code in Python. Optimize and tune data solutions for performance and scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Stay updated with the latest industry trends and technologies in data engineering. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role. Stron...

Custom Model Development: Design, build, and train bespoke ML models tailored to specific business needs, from initial prototype to full implementation. Third-Party Model Utilization: Identify, tune and deploy third-party ML models, covering proprietary and open-source models. Production Deployment: Manage the deployment of ML models into our production environments, ensuring they are scalable, reliable, and performant. MLOps and Automation: Build and maintain robust MLOps pipelines for Continuous Integration/Continuous Delivery (CI/CD), model monitoring, and automated retraining. Data Pipeline Construction: Collaborate with data engineers/stewards to build and optimize data pipelines that f...

We are looking for a Senior SAP MDG Techno-Functional Consultant to support a major digital transformation initiative in the automative sector. This role requires deep expertise in SAP Master Data Governance (MDG) along with strong ABAP development skills to deliver high-quality, compliant, and scalable solutions across multiple data domains. What You Will Be Doing: Lead the end-to-end design, configuration, and implementation of SAP MDG solutions for domains such as Material, Customer, Vendor, and Finance master data. Gather and analyze business requirements to define governance processes, data models, and workflows. Configure MDG frameworks including data modeling, UI, BRF+ rules, validati...

Join us as a Senior Data Engineer at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Senior Data Engineer, you should have experience with: Expertise of ETL technologies preferably Ab Initio. Experience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala). AWS hands-on Experience with Lambda, S3, Glue, Athena, Lake Formation, CloudFormation etc. Expertise in shell scripting and p...

Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity. Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and fostering data-driven decision making across the organization. Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Writes unit/integration tests, contributes to engineering wiki, and documents work. Designs and develops data integrations and data quality framework Bachelor of Engineering or equivalent degree in Computer S...

Strong understanding of data governance principles and best practices in Collibra. Experience with data integration tools and APIs for connecting Collibra with other systems. Proficiency in user management, role-based access control, and security best practices. Strong communication skills to effectively collaborate with stakeholders and promote platform adoption. Technical skills in areas like Python for automation and basic server administration. Technical expectations (detailed) Experience with data governance or data management tools such as BigID, Collibra, or similar platforms will be considered a strong asset. The ideal candidate will have between 8 to 10 years of overall IT experienc...

The Data Architect builds and leads enterprise data systems that strengthen research, manufacturing, and supply chain excellence. The role blends architecture, analytics, and compliance to transform data into usable intelligence. Key Responsibilities Build and optimize data architectures supporting pharmaceutical R&D and operations. Develop end-to-end data models, pipelines, and integrations across multiple platforms. Implement governance frameworks ensuring data quality, traceability, and GxP alignment. Partner with technical and business teams to drive data-driven outcomes. Implement and coordinate AWS, Microsoft Azure, Databricks, Snowflake, Power BI, and Tableau solutions. Introduce AI, ...

As the Head of AI/ML Architecture, you will own the strategy and vision of the organization s AI ecosystem. You ll lead cross-functional teams and drive the adoption of cutting-edge paradigms like Generative AI and transformers, and build platforms that power innovation, personalization, and intelligence across products. Key Responsibilities: AI/ML Architecture & Strategy Define the long-term AI/ML architecture strategy, frameworks, and standards aligned with business objectives. Architect end-to-end ML systems from data ingestion and feature engineering to model training, deployment, and monitoring. Lead the adoption of modern AI paradigms, including Generative AI, LLMs, and multimodal lear...

Key responsibilities include designing developing and maintaining scalable data pipelines using Apache Spark on Databricks Writing efficient and production ready PySpark or Scala code for data transformation and ETL processes Integrating data from various structured and unstructured sources into a unified platform Implementing Delta Lake and managing data versioning updates and schema evolution Optimizing data processing workflows for performance scalability and cost efficiency Collaborating with data scientists analysts and business stakeholders to deliver high quality datasets Implementing data quality checks validation routines and logging mechanisms Monitoring and debugging production jo...

The sales operations team enables a sales professional to be more efficient and successful. The sales operation team helps to boost productivity, efficiency, and the overall impact that the sales team has on business performance. The sales ops team manages day-to-day administrative tasks, such as lead generation and maintaining addressable market data in salesforce, maintaining CRM data quality, reporting and analyzing CRM data, and Revenue trends so that the salespeople can focus on revenue generation activities. At our core, we are a dynamic team of highly productive people who are passionate about providing support and thrive in a rapidly changing environment. About the Role: We are looki...

As the Product team lead for Data Quality (DQ) and Data Retention & Destruction (DRD) within the Asset and Wealth Management Chief Data Office, you will be entrusted with the critical responsibility of overseeing the delivery of DQ and DRD capabilities. Your role will involve designing tools to support the management of data domains, subdomains, systems of records, and the classification of business terms for retention and destruction, along with ensuring data protection and privacy measures are effectively implemented. Job responsibilities Lead the development and implementation of DQ and DRD capabilities to enhance data goverce within the organization. Collaborate closely with stakeholders...

Minimum 5+ years of development and design experience in experience as Data Engineer Experience on Big Data platforms and distributed computing (e.g. Hadoop, Map/Reduce, Spark, HBase, Hive) Experience in data pipeline software engineering and best practice in python (linting, unit tests, integration tests, git flow/pull request process, object-oriented development, data validation, algorithms and data structures, technical troubleshooting and debugging, bash scripting ) Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries) Experience in data architecture, data warehousing and modelling techniques (Relational, ETL, OLTP) and conside...

We are looking for an experienced backend developer with NodeJS, relational, and NoSQL experience to own API integration and data architecture in our fintech software company. This is senior or senior-mid role expected to work both autonomously and in collaboration with other developers. Roles and Responsibilities: Architect, develop, and maintain an internally-focused API integration solution serving our application developers Design data models that seamlessly connect locally-stored data to API-sourced information Create and maintain integrations with third-party APIs, and work with developers to fit third-party resources into existing workflow Analyze, evolve, and extend the applications ...

About the role: As an Adobe Analytics, Senior Analyst , you will be involved in all aspects of maintaining our Adobe Analytics platform and providing related reporting and analysis. Youll play a critical role in empowering our teams with meaningful data insights that drive key business decisions. What youll do Serve as the primary administrator for the Adobe Analytics platform, handling setup, configurations, user access, and system updates. Work to implement tracking tags, ensuring accurate data collection across digital properties. Conduct regular audits and validations to ensure data accuracy and integrity. Provide troubleshooting and resolutions to any data discrepancies or data quality ...

The Workday Analyst will be responsible for managing and overseeing the business process configuration, governance, and controls within Workday. This role is essential for ensuring that all security configuration is aligned with the organizations compliance, audit and operational standards. This role will collaborate with Financial Systems, HR, IT, and Compliance teams, monitor service requests and support Workday releases/process. This role is also responsible for obtaining approvals for security changes and ensuring system integrity through testing and documentation. What you will do: Administer the organizations Workday securities (User-based, Role-based and Integration (ISSG)) to provide...

We are looking for a skilled professional to join our team as a Sr. Analyst in S&C Global Network - AI - Data Strategy. The ideal candidate will have a strong background in IT Services & Consulting, with expertise in Accenture Solutions Pvt Ltd. Roles and Responsibility Collaborate with cross-functional teams to design and implement AI-powered data strategies. Develop and maintain large-scale data systems to support business intelligence and analytics. Work closely with stakeholders to identify business needs and develop solutions using AI and machine learning. Design and implement data governance policies and procedures to ensure data quality and integrity. Provide technical leadership and ...

Overview: We are seeking a highly detail-oriented AI Product Manager Ops to own and drive operational excellence in data testing, validation, and monitoring of AI models in production environments. This role sits at the intersection of product, data science, engineering, and operations. Responsible for ensuring that AI-driven features perform reliably, safely, and responsibly at scale, while continuously improving product quality and customer experience. Responsibilities: Reduction in production incidents caused by data/model issues. Establishment of reliable and scalable monitoring systems for AI products. Faster resolution time for data and model testing failures. Qualifications: Data Qual...

We are seeking a motivated and detail-oriented Data Quality Engineer to join our team and contribute to ensuring the accuracy, completeness, and reliability of our data. In this role, you will be responsible for implementing data quality checks, monitoring data quality, and identifying and resolving data quality issues. Experience with SODA (or similar data quality frameworks) is preferred. Responsibilities: Implement and maintain data quality checks and validations using various tools and techniques. Develop and execute data quality test plans and test cases. Automate data quality processes, including data profiling, data quality checks, and reporting. Contribute to the implementation and m...

We are looking for 8+ Years of experienced Data Engineers with strong hands-on expertise in Python programming and the GCP data ecosystem Migration Projects. Candidates should be able to build scalable data pipelines, optimize data workflows, and work collaboratively with data science, analytics, and engineering teams. Mandatory Skills: Strong hands-on programming in Python Extensive experience working with the GCP stack , including: BigQuery Cloud Storage (GCS) Cloud Functions / Cloud Run Dataflow / Apache Beam Pub/Sub Proficient in building, deploying, and managing scalable data pipelines Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts Strong SQL skil...