1380 Data Governance Jobs - Page 10

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members, analyzing requirements, and developing solutions to meet business needs. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct code reviews and ensure coding standards are met Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio- Strong understanding of ETL processes- Experience with data integration and data warehousing concepts- Hands-on experience in designing and developing ETL workflows- Knowledge of data quality and data governance principles Additional Information:- The candidate should have a minimum of 5 years of experience in Ab Initio- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. You will perform maintenance, enhancements, and development work. Your typical day will involve analyzing requirements, designing software solutions, writing code, and conducting testing to ensure the quality of the application. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Collaborate with stakeholders to gather requirements and understand business needs.- Design and develop software solutions using SAP Master Data Governance MDG Tool.- Perform code reviews and ensure adherence to coding standards.- Conduct unit testing and support integration testing activities.- Troubleshoot and debug issues in the application code.- Document technical specifications and user manuals.- Stay updated with the latest industry trends and technologies.- Mentor junior team members and provide guidance.- Ensure timely delivery of software solutions.- Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Good To Have Skills: Experience with SAP ERP systems.- Strong understanding of data governance principles and best practices.- Experience in data modeling and data integration.- Knowledge of SAP MDG configuration and customization.- Familiarity with SAP ABAP programming language.- Experience in implementing data quality rules and data validation.- Ability to troubleshoot and resolve technical issues.- Excellent problem-solving and analytical skills. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Informatica MDM Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing solutions that align with organizational goals and objectives. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to design, develop, and implement software solutions.- Participate in code reviews and provide feedback to ensure high-quality deliverables.- Troubleshoot and debug applications to enhance performance and functionality.- Stay updated on emerging technologies and trends to suggest improvements and innovative solutions.- Document technical specifications and user guides for reference and training purposes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica MDM.- Strong understanding of data integration concepts and methodologies.- Experience in data modeling, data quality, and data governance.- Hands-on experience in Informatica PowerCenter for ETL processes.- Knowledge of SQL and relational databases. Additional Information:- The candidate should have a minimum of 2 years of experience in Informatica MDM.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Program/Project Management Lead Project Role Description : Lead business and technology outcomes for assigned program, project, or contracted service. Leverage standard tools, methodologies and processes to deliver, monitor, and control service level agreements. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : SAP Data MigrationMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Program/Project Management Lead, you will lead business and technology outcomes for assigned program, project, or contracted service. Leverage standard tools, methodologies, and processes to deliver, monitor, and control service level agreements. You will be responsible for ensuring successful project delivery and meeting service level agreements. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead and oversee the planning, execution, and closing of projects.- Manage project resources effectively to ensure successful delivery.- Identify and mitigate project risks to ensure project success.- Communicate project status, issues, and risks to stakeholders regularly. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Good To Have Skills: Experience with SAP Data Migration.- Strong understanding of data governance principles and practices.- Experience in managing large-scale projects and programs.- Excellent communication and stakeholder management skills. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Coimbatore office.- A 15 years full-time education is required. Qualification 15 years full time education

Develop predictive models to accurately forecast product demand and perform SKU segmentation based on sales velocity, margin, and seasonality. Maintain high data integrity standards, ensuring accurate inputs across multiple business units and systems Required Candidate profile Bachelor’s or Master’s degree in Data Science, Business Analytics, or Supply Chain Management. Advanced skills in Excel, SQL, and BI/visualisation tools (e.g., Power BI, Tableau) Oversee MIS platforms

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance. Purpose of Job Looking for a Marketing Ops/Growth Specialist to power our marketing tech stack. If you re a tinkerer at heart someone who loves setting up automation, juggling analytics, and fine-tuning websites this role is for you. You ll be our go-to for HubSpot expertise, CRM data governance, lead attribution, campaign tracking, and performance marketing coordination , while staying on top of new AI-driven tools and processes. What You ll Do: Own HubSpot marketing automation and CRM hygiene: Ensure data integrity, maintain clean and accurate records, optimize lead management processes, set up workflows, lead scoring, email nurture sequences, and segmentation, ensuring clear, actionable reporting. Work closely with the Content Specialist and Marketing Producer to ensure that data-driven insights shape content strategies and execution. Manage SEO and website analytics (GA4, Google Tag Manager), making basic tech edits and coordinating more complex changes with our agency. Oversee tracking pixels, UTMs, attribution models, and dashboards to monitor lead flows and campaign performance. Continuously explore new platforms, AI-driven tools, and emerging tech solutions to improve marketing efficiency and effectiveness. Utilize data enrichment and outreach tools (Apollo, LinkedIn Sales Navigator) for better targeting and prospect identification. Manage and optimize the marketing tool stack and CRM data governance, working closely with vendors to assess and improve performance across automation, analytics, and lead management tools. Assist with marketing attribution across channels Handle fundamental performance marketing tasks (LinkedIn Ads, Google Ads) with support from specialists or agencies when needed. Act as the internal point of contact for performance marketing and vendor management, coordinating with agencies on campaigns and managing Martech, analytics, and CRM vendor relationships. You'll need to have: Solid HubSpot experience (marketing automation, workflows, reporting). Hands-on expertise in SEO and analytics (GA4, GTM). Strong grasp of attribution, tracking (UTMs), and data analytics, including the ability to create or interpret reports. Comfort with setting up and troubleshooting basic ad campaigns on LinkedIn and Google. Willingness to experiment with AI-powered tools and platforms to optimize workflows. Background in B2B or professional services marketing. Familiarity with SQL or Power BI for deeper reporting and data visualization. Experience with A/B testing and conversion rate optimization (CRO). Exposure to healthcare, life sciences, or similarly complex sectors is a plus. What you should know: - We treat our employees with respect and appreciation for both their contributions and their individuality. - We value our employees' diverse talents and abilities, fostering a supportive, collaborative, and dynamic work environment that encourages professional and personal growth. - You will have the opportunity to collaborate with and learn from colleagues at all levels of the organization, promoting teamwork and success in every project. - We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients but also to becoming leaders in sales and marketing analytics.

What Data Management and Governance contributes to Cardinal Health The Data & Analytics Function oversees the analytics lifecycle to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Management and Governance provides direction of data assets and is responsible for data strategy, quality, standards, and service levels. Data management acquires, validates, standardizes, enriches, protects and publishes structured, third party and unstructured data for use by the business. Governance defines and implements policies, standards and metrics that ensure the effective and efficient use of trusted data and statistical models to support regulatory and business goals. This is not a technical IT role. This is a business enablement role. Responsibilities The Advisor, Data Governance will be part of the Data office, Data Management and Governance organization as Data Governance Specialist responsible for advancing and maturing Data Governance capabilities across the enterprise. This role will act as a Data Steward and change agent working directly with Data Owners, Business Stakeholders, Data Leads and SMEs to: Execute data governance use cases leveraging the Data Governance Playbook Work with Data Owners and other stakeholders to establish and progress towards defined targets for data management maturity and data quality index Capture and maintain data ownership, prioritization, and criticality of data elements Capture and maintain metadata Identify opportunities to improve data quality through data remediation, process controls, and technology controls Present at Working Groups and other Leadership meetings for alignment and approval Create and govern current state and future state data flows, with identification of dependencies and integration points Support quality & regulatory teams to drive data compliance Qualifications 4-8 years of industry experience Bachelors or equivalent experience in related field Prior experience with finance data management, data analytics, business process analysis SAP or similar ERP system experience is preferred What is expected of you and others at this level Strong project management skills to plan, organize and execute work independently Strong communication skills to collaborate across various teams and process areas including both business and technical teams Strong influential and facilitation skills to collaborate across various teams and process areas Experience with understanding data structures and data elements Experience in driving data governance, data quality and data remediation Experience in leading data modeling, data lineage and data usage decisions Ability to understand the business, high-level technical solutions and associated data creation and consumption Beware of online recruitment scams Recruitment scams are being run by individuals that are not affiliated with Cardinal Health. These scams attempt to utilize the Cardinal Health brand name and logo in emails or false job postings. Victims of these scams are often asked to provide sensitive personal data, provide banking information, or send fees via check or wire transfer prior to receiving a job offer. During the application process, Cardinal Health will never request or solicit money, bank or credit card information or tax forms, require applicants to purchase equipment or communicate via online chat rooms, Google Hangout, or through social email accounts like Yahoo, Hotmail or Gmail. All legitimate job opportunities are posted on the Cardinal Health careers site. If you have any questions whether a job advertisement or solicitation is a legitimate Cardinal Health job opening, please email us.

Data Architect Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency. Role: Data Architect Experience: 6-10 Yrs Location: Udaipur , Jaipur, Bangalore Domain: Telecom Job Description: We are seeking an experienced Telecom Data Architect to join our team. In this role, you will be responsible for designing comprehensive data architecture and technical solutions specifically for telecommunications industry challenges, leveraging TM forum frameworks and modern data platforms. You will work closely with customers, and technology partners to deliver data solutions that address complex telecommunications business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives. Key Responsibilities: Design and articulate enterprise-scale telecom data architectures incorporating TMforum standards and frameworks, including SID (Shared Information/Data Model), TAM (Telecom Application Map), and eTOM (enhanced Telecom Operations Map) Develop comprehensive data models aligned with TMforum guidelines for telecommunications domains such as Customer, Product, Service, Resource, and Partner management Create data architectures that support telecom-specific use cases including customer journey analytics, network performance optimization, fraud detection, and revenue assurance Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics Conduct technical discovery sessions with telecom clients to understand their OSS/BSS architecture, network analytics needs, customer experience requirements, and digital transformation objectives Design and deliver proof of concepts (POCs) and technical demonstrations showcasing modern data platforms solving real-world telecommunications challenges Create comprehensive architectural diagrams and implementation roadmaps for telecom data ecosystems spanning cloud, on-premises, and hybrid environments Evaluate and recommend appropriate big data technologies, cloud platforms, and processing frameworks based on telecom-specific requirements and regulatory compliance needs. Design data governance frameworks compliant with telecom industry standards and regulatory requirements (GDPR, data localization, etc.) Stay current with the latest advancements in data technologies including cloud services, data processing frameworks, and AI/ML capabilities Contribute to the development of best practices, reference architectures, and reusable solution components for accelerating proposal development Required Skills: 6-10 years of experience in data architecture, data engineering, or solution architecture roles with at least 5 years in telecommunications industry Deep knowledge of TMforum frameworks including SID (Shared Information/Data Model), eTOM, TAM, and their practical implementation in telecom data architectures Demonstrated ability to estimate project efforts, resource requirements, and implementation timelines for complex telecom data initiatives Hands-on experience building data models and platforms aligned with TMforum standards and telecommunications business processes Strong understanding of telecom OSS/BSS systems, network management, customer experience management, and revenue management domains Hands-on experience with data platforms including Databricks, and Microsoft Azure in telecommunications contexts Experience with modern data processing frameworks such as Apache Kafka, Spark and Airflow for real-time telecom data streaming Proficiency in Azure cloud platform and its respective data services with an understanding of telecom-specific deployment requirements Knowledge of system monitoring and observability tools for telecommunications data infrastructure Experience implementing automated testing frameworks for telecom data platforms and pipelines Familiarity with telecom data integration patterns, ETL/ELT processes, and data governance practices specific to telecommunications Experience designing and implementing data lakes, data warehouses, and machine learning pipelines for telecom use cases Proficiency in programming languages commonly used in data processing (Python, Scala, SQL) with telecom domain applications Understanding of telecommunications regulatory requirements and data privacy compliance (GDPR, local data protection laws) Excellent communication and presentation skills with ability to explain complex technical concepts to telecom stakeholders Strong problem-solving skills and ability to think creatively to address telecommunications industry challenges Good to have TMforum certifications or telecommunications industry certifications Relevant data platform certifications such as Databricks, Azure Data Engineer are a plus Willingness to travel as required Educational Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Visit us: https://kadellabs.com/ https://in.linkedin.com/company/kadel-labs https://www.glassdoor.co.in/Overview/Working-at-Kadel-Labs-EI_IE4991279.11,21.htm

Role Overview As a Data Governance Developer at Kanerika, you will be responsible for developing and managing robust metadata, lineage, and compliance frameworks using Microsoft Purview and other leading tools. Youll work closely with engineering and business teams to ensure data integrity, regulatory compliance, and operational transparency. Key Responsibilities Set up and manage Microsoft Purview: accounts, collections, RBAC, and policies. Integrate Purview with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule & monitor metadata scanning, classification, and lineage tracking jobs. Build ingestion workflows for technical, business, and operational metadata. Tag, enrich, and organize assets with glossary terms and metadata. Automate lineage, glossary, and scanning processes via REST APIs, PowerShell, ADF, and Logic Apps. Design and enforce classification rules for PII, PCI, PHI. Collaborate with domain owners for glossary and metadata quality governance. Generate compliance dashboards and lineage maps in Power BI. Tools & Technologies Governance Platforms: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Integration Tools: Azure Data Factory, dbt, Talend Automation & Scripting: PowerShell, Azure Functions, Logic Apps, REST APIs Compliance Areas in Purview: Sensitivity Labels, Policy Management, Auto-labeling Data Loss Prevention (DLP), Insider Risk Mgmt, Records Management Compliance Manager, Lifecycle Mgmt, eDiscovery, Audit DSPM, Information Barriers, Unified Catalog Required Qualifications 46 years of experience in Data Governance / Data Management. Hands-on with Microsoft Purview, especially lineage and classification workflows. Strong understanding of metadata management, glossary governance, and data classification. Familiarity with Azure Data Factory, dbt, Talend. Working knowledge of data compliance regulations: GDPR, CCPA, SOX, HIPAA. Strong communication skills to collaborate across technical and non-technical teams.

We are seeking a highly skilled GCP Data Engineer with experience in designing and developing data ingestion frameworks, real-time processing solutions, and data transformation frameworks using open-source tools. The role involves operationalizing open-source data-analytic tools for enterprise use, ensuring adherence to data governance policies, and performing root-cause analysis on data-related issues. The ideal candidate should have a strong understanding of cloud platforms, especially GCP, with hands-on expertise in tools such as Kafka, Apache Spark, Python, Hadoop, and Hive. Experience with data governance and DevOps practices, along with GCP certifications, is preferred.

We are seeking a skilled Business Analyst with 46 years of experience, including at least 2 years in Azure Data Engineering projects, for a 6-month remote full-time role. The ideal candidate will work closely with stakeholders to gather and analyze business and technical requirements, collaborate with Azure Data Engineers, and support design decisions across data integration, transformation, and storage layers. Strong SQL skills, understanding of data governance, and experience in data platforms are essential. Excellent communication and stakeholder management skills are required. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

Key Responsibilities • Design end-to-end data workflow architecture using Alteryx Designer, Server, and Connect. • Translate HLS use cases into technical workflows, including patient journey analytics, claims automation, and real-world evidence processing. • Integrate Alteryx with cloud platforms, EMR systems, SQL-based data warehouses, and visualization tools. • Ensure compliance with HIPAA, GxP, FDA, and other regulatory standards. • Guide the data governance, security, and quality framework across solutions. • Collaborate with clinical analysts, data scientists, and IT to deliver analytics solutions aligned with business goals. • Provide thought leadership, mentor junior Alteryx resources, and contribute to CoEs. Required Skills & Qualifications • Deep expertise in Alteryx Designer, Alteryx Server, and related tools. • Proficient in SQL, Python, and integrating workflows with cloud ecosystems (AWS, Azure, GCP). • Strong understanding of healthcare data models (claims, EMR/EHR, HL7/FHIR). • Mandatory: Minimum 3-5 years of experience working with healthcare or life sciences datasets . • Familiarity with regulatory frameworks (HIPAA, FDA, GxP). • Strong communication and stakeholder management skills.

We're Hiring: Data Governance Developer Microsoft Purview, Locations: Hyderabad / Indore / Ahmedabad (Work from Office) Experience: 4-6 Years Budget: (Depending on experience & skills) Apply by sharing your resume with: Current CTC Expected CTC Notice Period Preferred Location Email your profile to: navaneetha@suzva.com Contact: +91 90329 56160 Role Overview As a Data Governance Developer at Kanerika, you will be responsible for developing and managing robust metadata, lineage, and compliance frameworks using Microsoft Purview and other leading tools. Youll work closely with engineering and business teams to ensure data integrity, regulatory compliance, and operational transparency. Key Responsibilities Set up and manage Microsoft Purview: accounts, collections, RBAC, and policies. Integrate Purview with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule & monitor metadata scanning, classification, and lineage tracking jobs. Build ingestion workflows for technical, business, and operational metadata. Tag, enrich, and organize assets with glossary terms and metadata. Automate lineage, glossary, and scanning processes via REST APIs, PowerShell, ADF, and Logic Apps. Design and enforce classification rules for PII, PCI, PHI. Collaborate with domain owners for glossary and metadata quality governance. Generate compliance dashboards and lineage maps in Power BI. Tools & Technologies Governance Platforms: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Integration Tools: Azure Data Factory, dbt, Talend Automation & Scripting: PowerShell, Azure Functions, Logic Apps, REST APIs Compliance Areas in Purview: Sensitivity Labels, Policy Management, Auto-labeling Data Loss Prevention (DLP), Insider Risk Mgmt, Records Management Compliance Manager, Lifecycle Mgmt, eDiscovery, Audit DSPM, Information Barriers, Unified Catalog Required Qualifications 4-6 years of experience in Data Governance / Data Management. Hands-on with Microsoft Purview, especially lineage and classification workflows. Strong understanding of metadata management, glossary governance, and data classification. Familiarity with Azure Data Factory, dbt, Talend. Working knowledge of data compliance regulations: GDPR, CCPA, SOX, HIPAA. Strong communication skills to collaborate across technical and non-technical teams.

Data Governance & Quality - Data Analyst Req number: R4899 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Data Analyst ready to take us to the next level! If you have SQL, Excel, Collibra and other data management tools and are looking for your next career move, apply now. Job Description We are looking for a Data Analyst This position will be full-time and Hybrid (Bangalore). What You’ll Do Conduct thorough data audits to identify any discrepancies or inconsistencies in data quality tool like Collibra. Collaborate with internal teams to understand data requirements and provide solutions to enhance data quality. Collaborate with Corporate Data Quality Teams. Develop and implement data quality standards and best practices. Analyze complex datasets to identify patterns, trends, and insights. Ensure data integrity and accuracy by performing regular data validation checks. Collaborate with stakeholders to understand their data needs and provide recommendations for data quality improvement. Participate in the design and implementation of data quality control processes. Communicate data quality issues and solutions effectively to both technical and non-technical stakeholders. Stay up-to-date with the latest industry trends and advancements in data quality practices. What You'll Need Bachelor's degree in Computer Science, Information Systems, or a related field. Proven experience in data analysis and quality assurance. Proficiency in SQL, Excel, and data management tools like SAP MDG, Collibra / Informatica. Strong attention to detail and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and collaborate effectively in a team environment. Strong organizational skills and ability to manage multiple priorities. Knowledge of data quality frameworks and methodologies. Physical Demands Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

We are seeking a detail-oriented Data Architect to design and implement robust data architecture and frameworks that support enterprise-level platforms. These platforms serve as central repositories for product asset data, enabling data-driven decision-making and supporting both field and digital services. Required Skills: Expertise in data modeling and design principles Proficiency in database management systems (e.g., SQL, NoSQL) Strong analytical and problem-solving skills Experience with data warehousing and ETL processes Experience with BI tools such as Power BI, Tableau, Quicksight Ability to create and manage complex data models Excellent communication and collaboration skills Experience with data governance and data security practices Good knowledge of Master Data Management (MDM) Familiarity with Salesforce environments Experience with cloud platforms such as AWS Basic knowledge of integration platforms (e.g., SnapLogic, Informatica CAI) Qualifications: 7+ years of experience in data architecture, database design, or related roles 5+ years of experience designing and implementing enterprise data solutions Proven experience with data modeling and architecture design methodologies Demonstrated experience with both relational and non-relational database systems Experience leading data architecture for major transformation initiatives or system implementations Track record of translating business requirements into effective data solutions Bachelor's degree in Computer Science, Information Systems, or a related field. Roles and Responsibilities Create blueprints for data management systems that ensure scalability, performance, and alignment with business needs Define and enforce data standards, principles, and models across the organization Ensure data quality, security, and governance are maintained at all levels Collaborate with business and technical stakeholders to align data strategies with enterprise goals Maintain consistency in data architecture practices and documentation Improve system performance through testing, troubleshooting, and integration of new technologies Lead data migration and transformation initiatives during major deployments

Hi, Job Description Summary The Sr. Engineer, Data Modeler will be responsible for shaping and managing the data models and architecture, enabling the organization to store, analyze, and leverage large-scale healthcare data efficiently. This includes developing and implementing reliable, scalable, and effective data models for various data warehouse solutions using cutting-edge tools such as Fivetran, DBT, Snowflake, AWS, Atlan, Erwin ER Diagrams , and Sigma Computing. This role will collaborate with a diverse set of stakeholders to develop a comprehensive data architecture that supports decision-making, reporting, analytics, and data governance. This role requires significant experience with dimensional models, RDBMS, cloud platforms, and ETL processes. This role will be responsible for defining and designing data models that support data governance, data quality, and master data management (MDM), while also working with stakeholders to implement data-driven solutions that enhance business outcomes in the healthcare sector. A strong focus will be placed on creating a trusted data environment by ensuring accurate data mapping, implementing Golden Record practices. Job Description Data Modeling & Architecture: Design and implement conceptual, logical, and physical data models, including Entity-Relationship (ER) models, Star Schema, Snowflake Schema, Data Vault Modeling, and Dimensional Modeling. Lead the design of normalized and denormalized structures to meet business requirements and ensure optimal performance of the Data Warehouse and Data Marts. Collaborate with business and technical teams to map business requirements to data models, ensuring that Master Data Management (MDM) processes and Golden Record concepts are well-defined. Build and maintain a comprehensive Business Glossary and Data Dictionary to standardize definitions and ensure consistency across the organization. Data Lineage & Mapping: Ensure that data lineage is accurately defined, visualized, and documented across the Data Warehouse environment. Oversee the data mapping process to track the flow of data from source to destination, ensuring consistency, integrity, and transparency of data throughout its lifecycle. Data Governance & Quality: Implement Data Governance processes to manage data access, quality, security, and compliance. Define and enforce Data Quality standards and practices, including Data Cleansing, to ensure data integrity and accuracy within the data warehouse environment. Work with stakeholders to establish governance frameworks for Data Lineage, ensuring data traceability, and transparency across the platform. Work with data architects and IT leadership to establish guidelines for data access, data security, and lifecycle management. Real-Time Data Ingestion & Change Data Capture (CDC): Design and implement real-time data ingestion pipelines using Kafka, AWS Kinesis, or Snowpipe to enable streaming data integration into the data warehouse. Implement Change Data Capture (CDC) mechanisms to efficiently capture and propagate data changes from operational systems using tools such as Fivetran or AWS, Lambda. Ensure low-latency processing, incremental updates, and data availability for real-time analytics and reporting. Quality Assurance & Continuous Improvement: Ensure high standards for data quality through rigorous testing, data validation, and performance optimization. Continuously evaluate and improve data modeling processes, tools, and methodologies. Automation & Process Improvement: Work with Data Engineers and development teams to improve data platform automation and enhance the data modeling lifecycle. Continuously monitor, test, and optimize data models and pipelines to ensure scalability, flexibility, and performance of the Data Warehouse. Documentation & Reporting: Maintain clear and up-to-date documentation for data models, data lineage, data mappings, and architectural decisions. Create and present technical diagrams, such as Entity-Relationship Diagrams (ERDs), to stakeholders and ensure alignment with business objectives. Platform Design & Deployment: Develop data architecture for the analytics platform on Snowflake and integrate with other AWS tools for robust data management. Work closely with data engineers to automate data pipeline deployments and updates using Fivetran, DBT, and cloud-based solutions. Stakeholder Collaboration: Partner with Product Manager, and other technical teams to define requirements and deliver optimal data architecture solutions. Conduct regular meetings to communicate technical decisions and ensure alignment with business goals and strategy. Contribute to proposal creation and RFP submissions, ensuring technical feasibility and best practices. Documentation & Reporting: Document all design decisions and data models, adhering to existing guidelines and ensuring clear communication across teams. Create presentations and visual data architecture diagrams for internal and external stakeholders. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Masters degree or certifications in Data Architecture, Cloud Technologies, or related areas is a plus. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: 6+ to 10 years in Data Modeling and Data 6+ to 10 years of hands-on experience in data modeling, data architecture, or information architecture with a focus on large-scale data warehouses. 6+ years of experience with dimensional models and relational database management systems (SQL Server, Oracle, DB2, etc.). 5+ years of experience with cloud technologies, especially AWS services and tools. Experience with ETL tools and automation (e.g., Fivetran, DBT ). Experience with data governance, data quality frameworks, and metadata management. Preferred: Experience in healthcare data modeling and data warehousing. Expertise in AWS environments. Hands-on experience with data integration and cloud automation tools. Familiarity with business intelligence tools (e.g., Sigma Computing). Understanding of healthcare-specific data governance, regulatory frameworks, and security compliance (e.g., HIPAA). Knowledge, Skills & Abilities: Knowledge of: Solid understanding of Data Vault, Star Schema, Snowflake Schema, and dimensional modeling. Proficient in SQL and experience with cloud-based data warehouse solutions such as Snowflake. Familiarity with AWS cloud services, Sigma Computing, Atlan, and Erwin ER diagrams. Skill in: Excellent communication skills to engage with both technical and non-technical stakeholders. Strong analytical and problem-solving skills to design scalable and efficient data models. Ability to: Ability to take ownership of deliverables, manage multiple tasks, and work effectively within an Agile methodology. Proven leadership ability to coach and mentor junior team members.

Required_Skills":[{"level":80 , "last_used":"2025" , "name":"Advanced SQL , ETL , Query Optimization Manage end-to-end data pipelines, ensuringseamless flow and integrity of data from diverse sources to analytical systems Collaborate with data scientists, analysts,and business teams to understand data needs and develop efficient solutions. Implementrobust data governance practices to maintain data quality standards andfacilitate reliable analysisand reporting Conductthorough data validation procedures to ensure accuracy and reliability ofanalytical outputs Monitordata systems and pipelines, troubleshoot issues, and ensure the continuousavailability of data Ensure data quality, integrity, andconsistency across different data sources and storage systems Optimize data flow and storage processes forperformance and scalability. Requirements Must Have... At least 2-4 years of experience working inthe field of analytics, reporting out metrics and deep dive analytics. Strong proficiency with Advanced SQL (WindowFunctions, DML Commands, DDL Commands, CTES, Sub Queries, etc) Expertise in building end to end datapipelines and ETL frameworks & tools Ability to write complex queries andunderstanding of database concepts. Strong understanding of data modelling,schema design, and database optimization techniques Knowledgeof version control (e.g., Git) and collaborative development practices. Exceptionalcommunication and collaboration skills. Nice to have... Exposureto broader analytics ecosystem Experiencewith data lake architectures and big data technologies. Education Bachelor degree in computer science,Engineering, or a related field. At least 2-4 years of relevant experience inanalytics organizations of large corporates or in consulting companies inanalytics roles.

Collaboration in regional and international projects as well as cooperation with internal and external partners worldwide Analysis, conception and managing of IT solutions in the area of SAP master data, module S/4 - MDG (Master Data Governance), primarily for the object business partner, incl. customer, supplier, person etc. Solution design and realization in cooperation with development department in accordance to the SAP S/4 development process and guidelines. Technical setup and customizing of interfaces to integrate Schaeffler ECO system with MDG Business partner Hub interfaces. Conducting user training courses and creating the corresponding training documentation in English Your Qualifications Completed studies in business- (computer science), business administration or a comparable qualification Very good knowledge SAP master data management, mainly SAP S/4 MDG - techno-functional aspect, expertise in MDC (Consolidation), MDQ (Qualtity)and BRF+ advantageous System integration knowledge (Webservice, API, CPI, SOA Manager, ...) is needed, expertise in Backend and Frontend development advantageous Experience with agile methods such as Scrum, as well as project management knowledge in the in the context of SAP projects Independent, structured and goal-oriented way of working coupled with quality awareness and an analytical and conceptual mindset Very good English language skills, German language skills advantageous

Job Description Department: Research & Development Key Responsibilities: Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks. Oversee data strategy, ensuring quality, governance, and security. Build and optimize predictive models to solve business challenges. Collaborate with cross-functional teams to integrate data science workflows with Rustbased microservices and cloud platforms. Mentor and guide the data science team, fostering a culture of continuous learning. Stay updated with the latest advancements in AI/ML and recommend their adoption. Required Skills and Qualifications: Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikitlearn). Expertise in AI/ML algorithms, statistical modeling, and data visualization. Good to have experience with big data tools like Hadoop, Spark, or similar. Knowledge of deploying models in production environments. Strong understanding of data governance and compliance standards. Leadership experience with a focus on team management and innovation. Advanced degree in Data Science, Machine Learning, Statistics, or related field. Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink). Familiarity with graph-based databases like Neo4j or JanusGraph. Knowledge of AutoML,MLops, frameworks and tools. Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization

Our Purpose Title and Summary Senior Data Engineer Overview The Data & Analytics team is looking for a Databricks Platform Engineer to drive our mission to unlock potential of data assets on AWS cloud by consistently innovating, and moving data to our Cloud platforms and making our business engineering team consume it with the set standards and principles. Our Cloud Data Platform (Databricks) is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization. Role - Databricks Platform Engineer Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget Develop and build solutions on cloud data platforms - Databricks - adhering to industry standards. Develop and build Databricks as a platform for the engineering community to use Build governance framework for cloud data storage and usage for enterprise data platforms. Collaborate on cross-functional agile teams - that include Developers, Report/BI Developers and Product Owners Work closely with Product Owners to understand cloud use cases and determine the best way to implement those. Provide technology leadership in the cloud big data space to development and product teams. Provide technology leadership to other leaders in big data and cloud data platform space. Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent Participate in architectural discussions , iteration planning, and feature sizing meetings Adhere to Agile processes and participate actively in agile ceremonies Stakeholder management skills All About You 8-12 years of hands on experience with Cloud data platform Hands on experience in Databricks and deep understanding of its architecture Experience managing, developing and supporting data lakes, lakehouses, warehouse on premise and on cloud, ETL solutions and other analytics solutions. Exposure to technology trends like R, Python and similar technology is added advantage. Experience working with development/engineering teams in a global environment In depth practical experience on native cloud services - Azure and/or AWS. Strong understanding of cloud DevOps practices and implementation. Experience in cloud data migration for large sized enterprise data warehouse environments. Understanding of cloud data governance include compute optimization, cost control, user profile management etc. In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms. Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts. Experience in establishing new engineering team and working towards taking the team to steady state Understanding of database technologies like Exadata/Oracle/Netezza/SQL server databases Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team

We are seeking a detail-oriented and analytical Data Manager with at least 3 years of experience to oversee data operations and ensure efficient data handling, integrity, and accessibility. The ideal candidate will possess strong technical expertise in Excel, SQL, Python, and Power BI , and will play a key role in supporting business decisions through data analysis, reporting, and process improvement. Key Responsibilities: Manage, maintain, and ensure the integrity of large data sets across various platforms. Develop and automate reports and dashboards using Power BI for real-time decision-making. Write and optimize SQL queries to extract and manipulate data from relational databases. Use Python for data cleaning, analysis, and building automation tools. Perform data validation and quality checks to ensure accurate business intelligence reporting. Collaborate with cross-functional teams to understand data needs and provide analytical support. Establish data governance protocols and ensure data security and compliance. Train team members and stakeholders on best practices in data handling and visualization. Required Skills & Qualifications: Bachelors degree in Computer Science, Data Analytics, Information Systems, or a related field. Minimum 3 years of experience in a data management or data analysis role. Proficient in Microsoft Excel , including advanced functions and data modeling. Strong knowledge of SQL for data manipulation and extraction. Experience with Python for scripting and data processing (pandas, numpy, etc.). Proficiency in Power BI for creating dashboards and visual reports. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Familiarity with data governance, privacy, and compliance standards.

Role & responsibilities Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: • Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. • Responsible for the implementation and oversight of the Companys data management goals, standards, practices, process, and technologies. • Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. • Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the companys principal information assets • To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each teams metadata, and develop a process for working with and onboarding data domain teams. • Be the point of contact for Data Governance queries, including escalation point for client concerns. • Coordinate the resolution of data integrity gaps by working with the business owners and IT. • Ability to work in an agile environment with an iterative approach to development. Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database). Proficient in SQL, Python, and must have strong understanding of databases and data structures. Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. Excellent analytical, problem-solving, communication and interpersonal skills. Ability to set priorities and multi-task in a fast-paced environment. Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. Ability to work independently and productively under pressure. Strong organizational skills and decision-making ability

Job Role & responsibilities:- Understanding operational needs by collaborating with specialized teams • Supporting key business operations. This involves architecture data flow, data lineage and building data systems Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, lineage, data deduplication, mapping and transformation, and business validations. Own development and management of data glossaries and data owner matrices to establish enterprise data standards pertaining to the use of critical data. Assist with deploying data issue capture and resolution process. Engage with key business stakeholders to assist with establishing fundamental data governance processes Create, prepare, and standardize data quality reports for internal analysis. Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards. Technical skills ,Experience & Qualification required:- 6-10 years of experience in Data Governancev Hands on experience in Collibra tool Experience who is proficient in data management, understands data model frameworks, and has practical knowledge of MDM Hands-on experience on working with data catalog tool as Collibra. Hands on experience on Collibra, Data governance and Data quality aspects; working with python Understanding of Cloud ServicesAzure Good communication and interpersonal skills Bachelors Degree in Computer Science or related field Soft skills and competencies: - Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Only Immediate Joiners will be preferred. Outstaion candidate's will not be considered

Design and lead scalable data architectures, cloud solutions, and analytics platforms using Azure. Drive data governance, pipeline optimization, and team leadership to enable business-aligned data strategies in the Oil & Gas sector Required Candidate profile Experienced data architect or leader with 10–15+ years in Azure, big data, and solution design. Strong in stakeholder management, data governance, and Oil & Gas analytics.

Advanced experience in data analysis, business requirement gathering, dashboarding and reporting, preferably with Microsoft Azure, SQL, Python, Power BI and Tableau Experience with SAP S/4 Hana contact "roshitha(at)talentcorner.in/9840092605 Required Candidate profile At least 4 years of experience working in data quality and governance Subject matter expertise on data management policy, Issue Management & Resolution and knowledgeable with data-related policies