11763 Data Governance Jobs - Page 6

Shifts timings- UK Shifts- 2PM-11PM Position Overview: We are seeking a seasoned SAP S/4HANA FI Lead Consultant with SAP S/4HANA FI functional & technical experience executing and delivering a complex migration project from SAP ECC to SAP S/4HANA. The candidate will be responsible for the configuration of SAP S/4HANA Target System to receive selected data migrated from a current SAP ECC system to ensure a seamless transition, while providing expert guidance and support to clients throughout the configuration build, testing and cutover activities of their journey to SAP S/4HANA. Key Responsibilities: Functional and Technical Consulting: Leading Workshops AS IS / TO BE Process to map requireme...

KEY RESPONSIBILITIES Participate in requirements gathering, database design, testing and production deployments. Analyse system/application requirements and design innovative solutions. Translating business requirements to technical specifications? data streams, data integrations,data transformations, databases, data warehouses & data validation rules. Design and develop SQL Server database objects (i.e., tables, views, stored procedures, indexes,triggers, constraints, etc.) Understand design and develop apache spark notebooks in Azure databricks. Analyze and design data flow, data lineage mapping and data models. Optimize, scale and reduce the cost of analytics data platforms for multiple c...

Data Pipeline DevelopmentDesign develop and maintain efficient reliable and reusable ETL ELT pipelines using DBT Snowflake and related technologiesData ModelingBuild and optimize data models star snowflake schemas to support analytical and reporting use cases ensuring data quality accuracy and performance Data IntegrationIntegrate data from multiple sources APIs databases SaaS platforms cloud storage into Snowflake using modern data ingestion tools and frameworksPerformance OptimizationTune SQL queries manage compute resources and optimize Snowflake performance for scalability and cost efficiencyData Governance Quality Implement data validation testing and monitoring processes to ensure high...

Strong understanding of data governance principles and best practices in CollibraExperience with data integration tools and APIs for connecting Collibra with other systems Proficiency in user management role based access control and security best practicesStrong communication skills to effectively collaborate with stakeholders and promote platform adoptionTechnical 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 experience and hold a re...

We are seeking a Reltio Senior System Architect with deep expertise in AWS cloud services and Databricks based Lakehouse architectures to lead enterprise scale Master Data Management MDM solutions This role will own the end to end architecture integrating Reltio MDM Databricks and AWS native services enabling trusted master data across analytics AI and operational systems Required Skills Qualifications 10 years of experience in enterprise data architecture and integration5 years of hands on Reltio MDM experience including match merge survivorship and complex entity modeling Strong expertise in Databricks Lakehouse architecture includingPySpark and Spark SQLDelta Lake ACID time travel optimiz...

Broad expertise in Financial (Credit, Market, Liquidity) risk, Operational risk and enterprise risk management ?Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End-to-end project implementation and cross-functional stakeholder management experience including agile project delivery?Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc, hands on with SQL queries?Bachelor??s degree from a reputable Institute Master??s degree preferably in a quantitative field (Business, Data Scienc...

Design and implement enterprisewide data architecture frameworks aligned with Cognites industrial data solutionsCreate and maintain data models schemas and data flow diagramsEstablish data governance policies and ensure compliance with regulations GDPR etc Collaborate with stakeholders to translate business requirements into technical specificationsOptimize data integration and pipeline performance for Cognites SaaS platformMentor team members on architecture best practicesRequired SkillsExpertise in cognite database design data modeling and ETL processes Strong knowledge of cloud platforms AWS Azure GCPFamiliarity with data warehousing security and compliance frameworksExcellent problemsolv...

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 ...

Job Purpose and Impact The Data & Analytics Reporting Supervisor is responsible for leading the design, development, and optimization of enterprise dashboards that deliver actionable insights across the organization. This role oversees the end-to-end dashboard lifecycle??from requirements gathering and data integration to visualization and user adoption. The Supervisor ensures dashboards are aligned with business goals, technically sound, and user-friendly. In addition to hands-on development, this role includes managerial responsibilities such as guiding a team of BI developers and analysts, setting performance goals, and fostering a culture of innovation and data-driven decision-making. Ke...

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...

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...

We're Hiring: MDM Specialists (Stibo / Reltio / Informatica MDM / SAP MDG/Data Quality) Location: AIA- Noida| Experience: 5–15 Years | Mode: Full-time Are you passionate about driving data excellence and enabling digital transformation through cutting-edge Master Data Management (MDM) solutions? Join our dynamic team and be part of large-scale, global MDM implementations across industries. We’re looking for experts in one or more of the following technologies: Stibo STEP MDM developer Strong experience in STEP Workbench, Data Modeling, Workflow Configuration, and Business Rules. Hands-on with PIM/MDM implementations, integrations, and syndication. Experience with REST APIs, Java/Groovy scrip...

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 ...

Responsibilities Design and Develop Scalable Data Pipelines: Build and maintain robust data pipelines using Python to process, transform, and integrate large-scale data from diverse sources Orchestration and Automation: Implement and manage workflows using orchestration tools such as Apache Airflow to ensure reliable and efficient data operations Data Warehouse Management: Work extensively with Snowflake to design and optimize data models, schemas, and queries for analytics and reporting Queueing Systems: Leverage message queues like Kafka, SQS, or similar tools to enable real-time or batch data processing in distributed environments Collaboration: Partner with Data Science, Product, and Eng...

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...

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...

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...

The Data Governance Business Analyst role involves interpreting and applying NDMO guidelines, including data classification, and re-validating evidence gathered for P1 P2 NDMO controls, updating as applicable The analyst will support the implementation and validation of P3 NDMO Controls, and perform compliance assessments using the CAST tool to identify and update all NDMO controls against gathered and reviewed evidence A key responsibility is to ensure organizational data practices comply with national standards and regulatory requirements, supporting the review and enforcement of data governance policies, standards, and procedures across business units, and coordinating with risk, complian...

Job description Responsibilities: Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines using Databricks and Apache Spark, primarily with Scala, to ingest, process, and transform large datasets from various sources. ETL/ELT Implementation: Develop and optimize Extract, Transform, Load ETL or Extract, Load, Transform ELT processes within the Databricks environment to ensure data quality, consistency, and availability for analytical purposes. Experience on Snowflake API Development: Design, develop, and deploy secure and efficient RESTful APIs using AWS services like Lambda and API Gateway to expose data or trigger data processing workflows. Cloud Infrastruc...

Job description Data Pipeline Development Design develop and maintain efficient reliable and reusable ETLELT pipelines using DBT Snowflake and related technologies Data Modeling Build and optimize data models star snowflake schemas to support analytical and reporting use cases ensuring data quality accuracy and performance Data Integration Integrate data from multiple sources APIs databases SaaS platforms cloud storage into Snowflake using modern data ingestion tools and frameworks Performance Optimization Tune SQL queries manage compute resources and optimize Snowflake performance for scalability and cost efficiency Data Governance Quality Implement data validation testing and monitoring pr...