15696 Data Quality Jobs - Page 11

About the Role We are looking for experienced data engineers who can independently build, optimize, and manage scalable data pipelines and platforms. In this role, youll work closely with clients and internal teams to deliver robust data solutions that power analytics, AI/ML, and operational systems. Youll also help mentor junior engineers and bring engineering discipline into our data engagements. Key Responsibilities Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases. Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making. Collaborate with cross-functional stakeholders to un...

We are looking for a highly skilled Senior Data Engineer to join our team The ideal candidate will have hands-on experience working with large-scale data platforms and a strong background in Python, PySpark, AWS, and modern data warehousing tools such as Snowflake and DBT Familiarity with NoSQL databases like MongoDB and real-time streaming platforms like Kafka is essential Key Responsibilities: Design, build, and maintain scalable data pipelines using PySpark and Python Work with AWS cloud services (S3, Lambda, Glue, EMR, Redshift) for data ingestion, processing, and storage Implement and maintain ETL workflows using DBT and orchestration tools (e g , Airflow) Design and manage data models ...

Reporting to : Deputy Chief Sustainability Officer, this position is critical to the long-term success Orgs sustainability strategy and business growth. Key Responsibilities: Lead development of Orgs annual Scope 3 emissions inventory, including data collection, and other critical sustainability data for annual reporting. Drive continuous improvement aligned with globally recognized standards, including calculation methodologies, emission factors, and approaches. Implement process improvements and build data reporting templates and tools to increase productivity, standardization and improve accuracy Conduct benchmarking studies and develop presentation materials to facilitate strategic decis...

The Team: Screening and Platform Customization team provides expert services for our most sophisticated analytical tools so that we can provide clients with a tailored experience when using our products. This global seasoned team specializes in onboarding, support and client adoption of Screener product and other features and tools available on our Capital IQ and Capital IQ Pro platform. Comprised of former investment professionals, CFA charter holders, and MBA''s, team is charged with understanding our client needs and objectives and providing solutions to enhance their workflows. Screening and Platform specialists are tasked with consulting clients on how to reap the maximum benefit of usi...

Data Engineer to build and manage data pipelines that support batch and streaming data solutions The role requires expertise in creating seamless data flows across platforms like Data Lake/Lakehouse in Cloudera, Azure Databricks, Kafka for both batch and stream data pipelines etc Responsibilities Strong experience in develop, test, and maintain data pipelines (batch & stream) using Cloudera, Spark, Kafka and Azure services like ADF, Cosmos DB, Databricks, NoSQL DB/ Mongo DB etc Strong programming skills in spark, python or scala & SQL Optimize data pipelines to improve speed, performance, and reliability, ensuring that data is available for data consumers as required Create ETL pipelines for...

Role Summary : We are seeking skilled Data Analysts to support Informatica MDM production operations, including data ingestion from Databricks, stewardship console support, and downstream data consumption The role involves monitoring, troubleshooting, and collaborating with business and engineering teams to ensure data quality and operational continuity Key Responsibilities 1. Data Ingestion Support (Databricks Informatica MDM):Monitor Databricks pipeline completion and validate output readiness Ensure successful ingestion via Secure Agent; troubleshoot failures Reprocess failed loads and resolve schema mismatches Collaborate with engineering teams for RCA and pipeline optimization 2. Data S...

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 Bachelor''s or Master''s degree in Computer Science, Engineering, or a related field Proven experience as a Data Engineer or similar role Strong pro...

The Opportunity. We are seeking a Cloud Data Engineer with a strong technology background and hands-on experience working in an enterprise environment, designing, and implementing data warehouses, data lakes, and data marts for large financial institutions. In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS). In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS) along with Modern Data Stack containing Snowflake Data Platform and Starburst Data Virtualization tool for Semantic Layer Build out. Succes...

Position Title: Business Analyst II Department : Product Title of Supervisor: Manager Product Management PURPOSE AND SCOPE: The Business Analyst provides health operations and business systems expertise during the receipt, review and delivery of client requests and internal projects related to data integrations, reporting and analytics for the claims administration solution. PRINCIPAL RESPONSIBILITIES AND DUTIES: Manage resolution of incoming client tickets, including gathering information, recreation of issues, resolution of the issue and co-ordination with developers Analyze incoming projects, client and strategic, requests and gather business requirements Ensure appropriate communication ...

A. Position Purpose: Technology Governance is as integral a part of the Technology team as are the Business facing, Infrastructure and the Development teams. Technology Governance is responsible for driving the compliance to the various internal processes and policies within the Technology team to ensure compliance and effective governance for the smooth execution of the Technology team. As a manager in Technology Governance team, the main role will be to establish and track against Data governance related activities. Key Responsibilities Support the implementation and maintenance of data governance policies, procedures, and standards specific to the banking industry. Hands-on experience in ...

Key Responsibilities: Assist in building and maintaining data pipelines and ETL processes. Support data ingestion, transformation, and loading into data warehouses. Work with senior engineers to ensure data quality and integrity. Perform basic data analysis and troubleshooting. Document processes and contribute to improving workflows. Required Skills: Programming: Basic proficiency in Python for scripting and data manipulation. Database: Good understanding of SQL for querying and simple optimization. Cloud Platforms: Familiarity with AWS or Azure services (e.g., S3, Data Factory). Big Data Tools: Exposure to Databricks or willingness to learn. Strong understanding of data structures and basi...

Key Responsibilities Design and implement data models, pipelines, and semantic layers in SAP Datasphere. Build and manage replication flows for delivering data to hyperscalers (Azure, AWS, GCP). Integrate SAP S/4HANA, BW/4HANA, and non-SAP data sources. Develop and optimize CDS Views for data extraction and modeling. Build optimized SQL-based transformations and virtual tables. Ensure data quality, governance, and security best practices. Collaborate with BI teams to enable SAP Analytics Cloud reporting. Required Skills 5-7 years in SAP Datasphere (total 5+ years in data/BI projects). Expertise in CDS Views, SAP Analytics Cloud, and strong SQL skills . Strong ETL/ELT and data modeling expert...

Key Responsibilities Solution Architecture Design Architect scalable, secure, and compliant end-to-end solutions integrating platform capabilities with intelligent data-driven features across customer experience applications. Define architecture patterns for workflows, integrations, platform extensions, and API-driven services that extend ServiceNow capabilities while ensuring alignment with security and platform standards. Lead evolution of architectural standards, evaluate tools and frameworks, and partner with product and engineering leaders to translate business requirements into technical designs. AI/ML Data Platform Architect AI/ML capabilities for personalization, recommendations, sem...

An ETL (Extract, Transform, Load) role involves designing, building, and maintaining data pipelines to move data from sources, clean/change it (transform), and load it into warehouses/lakes for analysis, requiring SQL, data modeling, and ETL tool skills, often collaborating with analysts and engineers to ensure data quality, accuracy, and timely delivery for business intelligence Responsibilities include source analysis, pipeline development (using tools like Informatica), testing/validation, performance tuning, and debugging to support reporting and decision-making Key ResponsibilitiesDesign Development: Create ETL workflows, data models, and pipelines for data integration Data Extraction: ...

What you will do: Lead the design, development, and enhancement of ETL pipelines and backend data workflows using Python and SQL. Design and optimize large-scale data processing solutions on AWS using services such as Glue, EMR, Lambda, and S3. Lead the implementation and improvement of CI/CD pipelines to automate build, test, and deployment for data and application code. Collaborate with architects, product owners, and business partners to refine requirements and translate them into scalable, secure data solutions that follow approved architecture patterns. Write high quality, maintainable, and well-tested code, and set a strong example for coding and design practices. Investigate and resol...

Role Overview We are looking for AI Evaluation Data Engineering Specialists to design, curate, and operationalize datasets and evaluation frameworks for AI product performance assessment. This role involves working with large language models (LLMs), human raters, and automation tools to measure model accuracy, correctness, and usability. Key Responsibilities Build and maintain evaluation datasets for AI models across programming languages (Python, Golang, JavaScript, Java). Develop and apply data labeling and scoring guidelines based on Googles evaluation framework. Implement LLM-judge calibration workflows to align automated and human evaluations. Perform error analysis, drift detection, an...

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Experience with Agile framework for project management methodologies and demonstrated strong abilities in data visualization tools such as Power BI. Identify and merge data sources to provide a safe source for reporting Train and validate predic...

The Director, Provider Master Data Management will be responsible for overseeing the management and maintenance of provider master data within the organization. This role involves ensuring the accuracy, consistency, and integrity of provider data across various systems and platforms. The Lead will collaborate with cross-functional teams to develop and implement data management strategies, policies, and procedures. Key Responsibilities Lead the provider master data management team and oversee daily operations. Includes Product Ownership, accountability for operations, roadmap development and ensuring needs of all IDS sleeves from provider mastering are met Develop and implement data managemen...

Key Responsibilities: Perform detailed Data Analysis to understand data propagation through our systems/applications and document/code the Data Transformation rules/logic. Participate in Requirement Analysis discussions to understand and document Data specific requirements. Perform detailed analysis and troubleshooting on data incidents related to data flow on global supply chain Comply with data governance policies and procedures Support and resolve Data issues and queries raised by internal customers. Analysis for various Data sources, both internal and external, and documenting the metadata including transformations, data structures and formats. Design and document Data structures for Dat...

The Pharmacovigilance Operations Manager supports the global safety system and associated data mart to ensure accurate, compliant, and timely safety data analytics and reporting, while advancing the use of automation, artificial intelligence (AI), and innovative technologies where appropriate. This role supports system changes and configurations, maintains data integrity, enables regulatory and business reporting, and delivers training for technical and business users. Operating with limited direction from the Senior Manager, this position plays a critical role in inspection readiness, regulatory compliance, and the responsible adoption of innovative solutions within the pharmacovigilance en...

In This Role, You Will: Input, update, and maintain data in internal databases and systems with precision. Review and verify data for accuracy and completeness. Ensure all data entries meet company standards and guidelines. Perform routine data quality checks and resolve any discrepancies. Assist with data extraction and report generation as needed. Maintain confidentiality and security of sensitive information. Collaborate with team members and other departments to ensure data integrity. Provide support for data-related projects and tasks as assigned. Ideal Candidate Qualifications: Typing speed of 38 WPM with a 98% accuracy rate. Proven experience in data entry or a related field preferred...

This job will design and implement advanced data science and agentic AI models to support business needs in the risk and compliance domain. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science/agentic AI ensuring data quality, and mentoring junior data scientists. Job Description Essential Responsibilities Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic ini...

Data Gathering and Analysis: Collect and organize data from multiple sources, ensuring data quality and integrity Analyse large datasets to identify trends, patterns, and insights Reporting and Visualization: Prepare reports, dashboards, and data visualizations to present findings and recommendations to stakeholders effectively Data Quality Assurance: Implement data validation and cleansing processes to ensure accuracy and reliability of data Collaborate with IT Teams: Work closely with IT professionals to understand data infrastructure, data governance policies, and ensure data security and privacy standards are met Problem Solving: Use analytical skills and critical thinking to identify an...

Design and develop robust ETL pipelines using Python, PySpark, and GCP services Build and optimize data models and queries in BigQuery for analytics and reporting Ingest, transform, and load structured and semi-structured data from various sources Collaborate with data analysts, scientists, and business teams to understand data requirements Ensure data quality, integrity, and security across cloud-based data platforms Monitor and troubleshoot data workflows and performance issues Automate data validation and transformation processes using scripting and orchestration tools Required Skills & Qualifications: Hands-on experience with Google Cloud Platform (GCP), especially BigQuery Strong progra...

Job description Design and execute test plans for ETL processes, ensuring data accuracy, completeness, and integrity. Develop automated test scripts using Python or R for data validation and reconciliation. Perform source-to-target data verification, transformation logic testing, and regression testing. Collaborate with data engineers and analysts to understand business requirements and data flows. Identify data anomalies and work with development teams to resolve issues. Maintain test documentation, including test cases, test results, and defect logs. Participate in performance testing and optimization of data pipelines. Required Skills Qualifications: Strong experience in ETL testing acros...