137 Data Lineage Jobs

As an ETL Testing professional at CGI, you will be part of a dynamic team that is committed to helping clients succeed in their IT and business process services. With 5-8 years of experience, you will be based in Chennai or Bangalore, working full-time from the office on a Monday to Friday schedule from 12:30 PM to 9:30 PM. Your role will involve utilizing your analytics skills to understand requirements, develop test cases, and manage data effectively. You will need strong SQL skills and hands-on experience testing data pipelines built using Glue, S3, Redshift, and Lambda. Collaboration with developers to build automated testing and a solid understanding of data concepts like data lineage, data integrity, and quality are essential for success in this role. Previous experience in testing financial data is considered a plus. You will be expected to demonstrate expert-level analytical and problem-solving skills, flexibility in testing approaches, and awareness of Quality Management tools and techniques. Ensuring best practice quality assurance of deliverables, working within agreed architectural processes, data, and organizational frameworks will be crucial. Effective communication skills, proficiency in English (written/verbal), and local language as necessary are required. An open-minded approach to sharing information, transferring knowledge, and supporting team members will be key to your success. Must-have skills for this role include ETL and SQL proficiency, hands-on testing of data pipelines, experience with Glue, S3, Redshift, data lineage, and data integrity. Additionally, experience testing financial data will be advantageous. At CGI, we value ownership, teamwork, respect, and belonging. As a CGI Partner, you will have the opportunity to contribute meaningfully from day one, shaping the company's strategy and direction. Your work will create value through innovative solutions, collaboration with colleagues and clients, and access to global capabilities. You will have the chance to grow and develop your skills within a supportive environment that prioritizes your well-being and professional growth. Join CGI, one of the largest IT and business consulting services firms globally, and together, let's turn meaningful insights into action.,

Aera Technology is revolutionizing enterprise decision-making. Our AI-driven platform, Aera Decision Cloud, integrates seamlessly with existing systems to digitize, augment, and automate critical business decisions in real-time. Aera helps global enterprises transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world's best-known brands. We are looking for a Product Manager - Data to lead the evolution of our core Decision Intelligence capabilities. You will redefine how organizations harness data and AI to drive smarter, faster, and more sustainable decision-making. This is an exciting opportunity to be at the forefront of enterprise AI innovation, collaborating with a dynamic team in a fast-paced, startup-like environment. This role will be based in our Pune office. Responsibilities As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows. Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value. Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points. Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation. Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions. Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities. Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers. About You You are passionate - you are your product's biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value. You are pragmatic - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table. You love to learn - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution. You are a master at communication and collaboration - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal. Experience At least 2 yrs of B2B SaaS PM experience Mandatory. Experience in data infrastructure, AI/ML platforms, or enterprise data products. Knowledge of data modeling, SQL, and ETL/ELT processes. Knowledge of data quality, metadata management, data lineage, and observability is a plus. Bachelor's degree in Engineering/Computer Science or a related technical discipline. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

Genpact (NYSE: G) is a global professional services and solutions firm that is committed to delivering outcomes that help shape the future. With a workforce of over 125,000 individuals spanning across more than 30 countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500. We leverage our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI to drive innovation and success. We are currently seeking applications for the position of Business Analyst, Life Sciences Analytics. We are looking for a Database developer who will play a key role in leading business intelligence and analytics projects for a life sciences account. The primary responsibility of the DB developer will involve collaborating with lead business analysts to deliver end-to-end business intelligence and analytics projects while working closely with lead business analysts and Customer stakeholders. Responsibilities: - Proficient in working with Alteryx, SQL & ETL tools within the life sciences analytics domain. - Strong understanding of RDBMS concepts. - Professional experience in Database development, Data modeling, and ETL Design. - Capable of designing and optimizing SQL queries and stored procedures. - Hands-on experience with Alteryx Designer, including designing and developing ETL workflows and datasets. - Design and development of ETL workflows and datasets in Alteryx for utilization by the BI Reporting tool. - Expertise in Alteryx Designer, Alteryx Server, and related tools for activities like Prescriptive, interactive, parsing, and different transform logics. - Ability to perform data blending, joining, and parsing of data, in addition to creating reports, rendering layouts, and developing KPIs. - Experience in writing SQL queries against RDBMS with query optimization. - Strong communication skills to interact with end users, translating business requirements into technical specifications effectively. - Ability to work collaboratively in a team environment or independently. - Excellent negotiation skills and the capability to work with individuals from various technical backgrounds and disciplines. Qualifications we seek in you: Minimum Qualifications: - BE/B-Tech, BCA, MCA, BSc/MSc, MBA Preferred Qualifications/Skills: - Personal drive and positive work ethic to deliver results within tight deadlines and demanding situations. - Flexibility to adapt to various engagement types, working hours, work environments, and locations. - Excellent communication and negotiation skills. This is a full-time position for the role of Business Analyst located in India-Bangalore. The education level required is Bachelor's/Graduation/Equivalent. The job was posted on Jul 1, 2025, at 5:53:53 AM, with the unposting date set for Jul 31, 2025, at 1:29:00 PM. The primary focus area for the position is Operations, falling under the category of Full Time.,

You are not the person who settles for just any role. Neither are we. We are committed to creating Better Care for a Better World, which requires individuals and teams who care about making a difference. As the Data Governance Lead for Global People Organization Data, you will play a crucial role in executing the GPO data strategy by establishing Data Stewardship, Data Governance Policies, Data Audits, and guard rails. Your responsibilities will include defining and assigning data roles, adopting and monitoring a data governance framework to ensure quality, security, and compliance. In this role, you will be responsible for developing data governance policies such as creating policies regarding data classification, access, data quality standards, and data sharing procedures. You will identify key stakeholders involved in data governance, establish a governance structure, and monitor and measure effectiveness by reviewing data governance performance metrics. Additionally, you will focus on data quality by implementing processes to ensure data accuracy, completeness, consistency, and timeliness, data security, data compliance, and data lineage. Furthermore, you will establish a data stewardship council to identify ownership of specific data sets to designated data stewards who are responsible for their quality and governance. You will work closely with various stakeholders across the organization to ensure compliance with relevant data privacy regulations and industry standards. Your role will involve leading with informal authority, building consensus, influencing decision-making, conflict resolution, and achieving objectives through matrixed leadership. To succeed in this position, you should have at least 5 years of experience leading data governance, including establishing frameworks and best practices, familiarity with data privacy regulations and compliance, and demonstrable data quality monitoring and improvement. You should possess strong communication skills and the ability to communicate effectively across multiple layers of the organization. If you are passionate about driving innovation, growth, and impact, and want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development, Kimberly-Clark offers you an opportunity to be part of a team committed to making a difference. Your performance in this role will be pivotal in ensuring the success of our data governance initiatives and contributing to the overall mission of Better Care for a Better World.,

You are invited to join AURC Solutions as a Data Management resource specializing in Data Governance for a client based in Hyderabad. Your role will involve collaborating with the business to support data governance initiatives, including data cleansing. We are seeking individuals with specific skill sets, whereby one resource should have Salesforce experience (certified Admin at minimum) and the other can be without Salesforce experience. Your primary responsibilities will include: - Serving as a Data Steward for Data Governance - Leading Data Cleansing efforts as the main point of contact for Key Data Elements (KDEs) - Conducting Data Quality efforts such as data quality health checks and analysis - Collaborating with business Subject Matter Experts (SMEs) and IT for data updates - Demonstrating a strong understanding of data lineage and dependencies - Utilizing Data Quality tools like Informatica and Purview would be advantageous. Location preference: Hyderabad (offshore) Immediate availability is preferred. Mode of work: On-site (5 days a week) Resource 1 Requirements: - Salesforce expertise (certified Admin at minimum) - Experience as a Data Steward - Experience in Data Cleansing efforts, particularly with KDEs - Proficiency in Data Quality efforts, including health checks and analysis - Collaboration with business SMEs and IT for data updates - Understanding of data lineage and dependencies - Working knowledge of Data Quality tools like Informatica and Purview. Resource 2 Requirements: - Experience as a Data Steward - Experience in Data Cleansing efforts, particularly with KDEs - Proficiency in Data Quality efforts, including health checks and analysis - Collaboration with business SMEs and IT for data updates - Understanding of data lineage and dependencies - Working knowledge of Data Quality tools like Informatica and Purview. Location: Hyderabad Notice Period: Preferred immediate joiners/serving notice period/30 days To learn more about the role, please send your CV to anamika.t@aurcsolutions.com / naveen.regula@aurcsolutions.com or contact 8085434473.,

As a Change Management and Transformation Consultant in Capital Markets at Accenture, you will have the opportunity to tackle our clients" most complex challenges by collaborating with exceptional individuals, utilizing cutting-edge technology, and partnering with leading companies across various industries. In this role, you will be a part of the Capital Markets practices within Accenture's Capability Network. Your primary responsibility will be to assist investment banks, asset and wealth managers, and exchanges in preparing for the digital future. By leveraging global strategies and data-driven insights, you will play a crucial role in enabling digital-enabled capital markets. Your key initiatives will include collaborating with clients to address intricate problems such as regulatory reforms, managing organizational changes related to processes, technology, and structure, overseeing transformation projects to transition from legacy systems to modern solutions, and recommending industry best practices to enhance operational efficiency. Additionally, you will support data governance and management efforts, optimize operations, drive business decision-making, refine methodologies, track industry trends, and develop proposals that align with Accenture's value proposition. Your role will involve incorporating best practices and methodologies into all stages of project management to ensure successful outcomes. To excel in this position, you should possess strong analytical and problem-solving skills, excellent communication and presentation abilities, and cross-cultural competence to thrive in a dynamic consulting environment. The ideal candidate for this role would have an MBA from a reputable business school with a blend of consulting and functional skills, industry-specific certifications such as FRM, CFA, or PRM, prior experience in consulting projects, and expertise in Investment Banking and Investment Management functions. Specific domains of knowledge should include Capital Markets, Asset & Wealth Management, Front Office Advisory, OMS systems, Back Office applications, Risk Management, Regulatory Change and Compliance, Data Governance, Robotics Process Automation, Agile Methodology, and more. By joining our team, you will have the opportunity to work on transformative projects with key clients, collaborate with industry experts to shape innovative solutions, receive personalized training to enhance your skills and industry knowledge, and contribute to a culture committed to equality and collaboration. Accenture is a leading global professional services company that offers a wide range of services in strategy, consulting, digital, technology, and operations. With a focus on delivering sustainable value to clients across industries, Accenture's team of over 569,000 professionals in more than 120 countries drives innovation to improve the way the world works and lives. Join us at Accenture to be a part of a team that values ideas, ingenuity, and a commitment to making a positive impact through transformative change.,

The App Demise programme within first direct heavily relies on Data Analysts/Engineers who possess the ability to analyze, understand, and map existing data repositories and flows. This role entails working with unfamiliar data, conducting investigations based on high-level requirements, and taking initiative to work independently without close supervision. Effective communication with business and technical team members at all levels is crucial for completing and reporting on analysis. Key Responsibilities: - Mapping existing data and flows with legacy systems - Producing data extracts to support Business Analysts - Mapping data on inbound and outbound interfaces - Reviewing data in legacy systems to understand characteristics, lineage, and redundancy Skills Required: - Strong SQL skills for ad hoc data manipulation and analysis - Excellent written and verbal communication skills - Task ownership and ability to work proactively and independently - Strong Excel skills for data management - Working knowledge of Terradata - Data lineage experience with end-to-end traceability and understanding of transformations - Systems analysis and data analysis skills - Good knowledge of data-driven processes and data design - Working knowledge of SAS would be advantageous - Understanding of Agile working and project lifecycle - Ability to prioritize according to frequently changing project demands - Understanding of related first direct / HSBC systems is an advantage About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. Join a global team of 27,000 professionals dedicated to providing exciting projects, opportunities, and working with state-of-the-art technologies. Collaboration, a dynamic environment, and fostering excellence are at the core of Virtusa's culture.,

Job Description 15 to 18 years. with at-least 3 to 4 years as expertise in ETL, data engineering and Cloud Technologies, with a proven ability to orchestrate cutting-edge technology to connect various applications within the cloud environment in a large development project. Primary Technical Skills: ETL, Apache Spark, AWS EMR, EKS, Serverless, Data Engineering, Distributed Computing, Data Lineage, Apache Airflow, Java 17+, Springboot/ Quarkus, Hibernate ORM, REST, Postgres or any RDBMS, Microservices, Cloud-native development, Secondary Technical Skills Devops : Docker, Kubernetes, CI / CD stack Jenkins or Gitlab CI, Maven, GIT, SonarQube, Nexus, AWS, expertise in at least one Data Engineering tools (e.g. Informatica, Data stage) Apache Airflow, Redis, No-SQL (any Document DB), Kafka / Rabbit MQ, OAUTH2, ARGO, Swagger, OAS Experience / Application of skills Experience in ETL implementation using Cloud technologies, Distributed computing and Big data processing. Orchestrate the integration of Cloud-native principles, Kubernetes, Micro profile specs, Spark framework. Hands-on Java Lead. Strong in OOPs concepts, Java design patterns, Reactive programming, writing High level solutions & Clean architecture. Very strong advocate of coding best practices (SOLID, DRY, Clean Code, Exception handling, TDD, Unit testing, Integration testing). Have implemented common framework for an application/platform (like Exception Library, Security Authentication/Authorization, Auditing, Idempotency, Connectors etc) Experience in implementing HLD, Microservices architecture, design patterns like Resiliency, Service Orchestration, DB per service, CQRS etc. Preferred personal qualities Proactive, Self-starter , Willing to learn new technology. Develop rapid prototypes/PoC/MVP in data integration within cloud environments. Working with team members, mentoring, and guiding them in their career track Excellent problem-solving skills and ability to work in a fast-paced environment. Stay updated with the latest advancements in cloud and data technologies, as well as best practices. Strong leadership and communication skills. Role Engineering Lead Data Engineering Architect Shift : General shift Location : Chennai , Hyderabad and Pune. Those who are interested can drop their resumes at Krishna.Kumaravel@ltimindtree.com

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 Company 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 Preferred candidate profile 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).

Job description Company: Kiya.ai Work location Pune Work Mode: Hybrid Job details- Key Responsibilities: o Utilize Collibra to manage and maintain data governance workflows, metadata, and data cataloging. o Support the implementation and enhancement of data lineage within Collibra to provide clear visibility into data flow and dependencies. o Collaborate with data engineers, architects, and business stakeholders to document and validate data lineage across systems. o Analyze and map data movement from source to target systems ensuring accuracy and completeness. o Gather, review, and analyze business and technical requirements related to data governance and lineage projects. o Translate requirements into actionable tasks and ensure alignment with organizational data policies. o Take full ownership of assigned deliverables, ensuring timely and quality completion. o Track progress, identify risks, and proactively communicate status to stakeholders. o Manage end-to-end contract execution processes related to data governance initiatives, including vendor coordination, compliance checks, and documentation. o Ensure contractual obligations are met and escalate issues as necessary. o Work closely with cross-functional teams including IT, legal, compliance, and business units to support data governance objectives. o Prepare and present reports, dashboards, and documentation to stakeholders. ________________________________________ Qualifications: • Masters degree in computer science, Information Systems, Data Science, or related field. • Proven experience working with Collibra or similar data governance platforms. • Strong understanding of data lineage concepts and metadata management. • Experience in requirement gathering, analysis, and documentation. • Demonstrated ability to manage deliverables and take ownership of projects. • Familiarity with contract management and execution processes is a plus. • Excellent analytical, problem-solving, and communication skills. • Ability to work independently and collaboratively in a fast-paced environment. ________________________________________ Preferred Skills: • Knowledge of SQL, data modeling, and ETL processes. • Experience with data quality tools and frameworks. • Understanding of regulatory requirements related to data governance (e.g., GDPR, CCPA). • Project management experience or certifications (e.g., PMP, Agile) would be an additional skill.

As a Risk Data Analyst specializing in Regulatory Reporting, you will play a crucial role in supporting regulatory reporting initiatives within the organization. Your main focus will be on ensuring data quality, establishing data lineage, and compliance with regulatory standards related to financial reporting. Your responsibilities will include but are not limited to developing and upholding data quality rules and metrics for essential data elements, creating and overseeing data lineage documentation, and collaborating with various teams to gather requirements for regulatory reporting. You will also be tasked with conducting functional, transactional, and conformance testing to validate the accuracy and completeness of reports, as well as identifying and resolving any data quality issues that could impact regulatory reporting. To excel in this role, you should hold a Bachelor's degree in Finance, Data Analytics, or a related field, coupled with at least 3 years of experience in regulatory reporting and data quality analysis. A strong grasp of regulatory requirements and reporting tools is essential, along with exceptional analytical and problem-solving abilities. Any familiarity with data lineage and quality tools would be considered advantageous. Join us in this dynamic opportunity to contribute to the integrity and compliance of regulatory reporting while leveraging your expertise in data analysis and regulatory standards.,

As a Data Management Associate at Wells Fargo, you will be responsible for the collection and extraction of data to support business needs and future trends. Your role will involve analyzing, assessing, and testing data controls and systems to ensure quality and risk compliance standards are met. Additionally, you will perform data quality, metadata analysis, governance activities, and remediation tasks on a tactical and routine basis. You will provide support for communications by documenting requirements, design decisions, issue closures, and remediation updates. Monitoring data governance, data quality, and metadata policies, standards, tools, processes, and procedures will also be part of your responsibilities to maintain common data control. Supporting managers in executing tasks throughout the issue remediation life cycle for data issues and interacting with data provided by third-party data providers are key aspects of this role. Required qualifications for this position include at least 6 months of experience in Data Management, Business Analysis, Analytics, or Project Management. Equivalent experience demonstrated through work experience, training, military service, or education will also be considered. Desired qualifications involve developing and running reports from Enterprise Data Management Tools such as Tableau and Power BI, analyzing Metadata Quality Assurance findings, and collaborating with Subject Matter Experts to drive remediation efforts. Familiarity with Data Governance, Metadata Management, Data Lineage, Business Analysis, Data Quality, Business Glossary, Data Dictionary, and Basic SQL is preferred. You will be conducting data governance onboarding meetings with new stakeholders, designing and conducting analysis to identify and remediate data quality or integrity issues, and adhering to data governance standards and procedures. You will play a crucial role in monitoring data governance, data quality, and metadata policies to ensure data control and remediation for companywide data management functions. Supporting regulatory analysis and reporting requirements, recommending plans for assessing the quality of new data sources, documenting business or technical metadata, and working with clients to assess the current state of data quality within your assigned responsibility area are also part of the responsibilities in this role. Please note that the job posting may be closed early due to the volume of applicants. At Wells Fargo, we value diversity and encourage applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. Accommodations for applicants with disabilities are available upon request during the recruitment process.,

Min. 4 yrs. of hands-on exp. with Talend Data Integration and Data Quality. Expert in Talend Studio, DQ, and Stewardship Console with knowledge of data governance. Exp. working with relational databases & cloud platforms - preferred GCP. Required Candidate profile Knowledge of data profiling, cleansing, matching, & metadata management tools. Proficient in SQL for complex queries & data transformation; familiar with Git& CI/CD Excellent communication skills.

Some careers have more impact than others. If you're looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Technology Lead, Data Catalogue & Data Quality. The role is based in Pune/Hyderabad. The Opportunity: We are seeking a skilled and driven Data Technology Lead to join the CTO Data Technology team, focusing on enterprise Data Catalogue and Data Quality solutions. This role will be responsible for designing, delivering, and managing modern data control capabilities across the bank's global footprint. This leadership role is crucial in driving adoption of strategic metadata and quality platforms that enable data governance, regulatory compliance, and operational efficiency. The successful candidate will collaborate closely with Group Chief Data Offices (CDOs), Cybersecurity, Risk, Audit, and business-aligned technology teams to provide technical solutions. What you'll do: - - Lead the design, engineering, and global rollout of strategic Data Catalogue and Data Quality solutions. - Partner with Group Data Strategy and CDOs to define control requirements, metadata models, and quality rules frameworks. - Own the platform roadmap and architecture for metadata ingestion, automated data discovery, lineage tracing, and data quality scoring. - Ensure interoperability with broader data platform architecture. - Establish automation pipelines for data standards validation, issue detection, and remediation orchestration at scale. - Drive adoption across thousands of Systems of Record (SoRs), Reference Data Masters, and Data Platforms. - Ensure adherence to global and local data privacy, residency, and regulatory requirements (e.g., GDPR, BCBS 239, PIPL, etc.). - Deliver service-level management, system resilience, and operational excellence for critical metadata and quality services. - Drive continuous improvement and technology modernization, including migration to cloud-native or hybrid architectures. - Support internal audits, regulator reviews, and compliance reporting related to data controls. - Champion engineering best practices and foster a DevSecOps and agile delivery culture within the team. Requirements: - 15+ years of relevant experience in data technology or data governance roles, with leadership experience in large-scale metadata and data quality programs. - Deep expertise in enterprise metadata management (EMM), data lineage tooling, data quality frameworks, and cataloging systems (e.g., Collibra, PyDQ, Graph Databases). - Strong architectural understanding of distributed data platforms, cloud services (e.g., AWS, GCP, Azure), and real-time data pipelines. - Experience in regulatory data compliance (e.g., CCAR, BCBS 239), including working with second-line risk and audit teams. - Strong understanding of data modeling, data classification, data lifecycle management, and data integration technologies. - Leadership experience with matrixed global teams and large-scale platform delivery. - Excellent stakeholder engagement skills, able to communicate with both senior business and technical stakeholders. You'll achieve more when you join HSBC. [HSBC Careers Website](www.hsbc.com/careers) Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.,

The Data Engineering Technology Lead position is a senior role responsible for establishing and implementing new or revised data platform ecosystems and programs in coordination with the Technology team. Your primary objective is to lead the data engineering team in implementing business requirements. Your responsibilities will include designing, building, and maintaining batch or real-time data pipelines in the data platform, as well as optimizing the data infrastructure for accurate extraction, transformation, and loading of data from various sources. You will develop ETL processes to extract and manipulate data, automate data workflows, and prepare data in Data Warehouses for stakeholders. Collaboration with data scientists and functional leaders to deploy machine learning models and building data products for analytics teams will be essential. Ensuring data accuracy, integrity, privacy, security, and compliance through quality control procedures, monitoring data system performance, and implementing optimization strategies are also part of your role. You will partner with management teams to integrate functions, identify necessary system enhancements, and resolve high impact problems. In addition, you will provide expertise in applications programming, ensure application design aligns with architecture, and develop knowledge of integrating business areas to accomplish goals. Qualifications for this position include 12+ years of experience in a data engineering role, problem-solving skills, leadership abilities, service orientation, and the ability to work in a fast-paced environment. Proficiency in technical tools, interpersonal skills, and a Bachelor's/University degree (Master's preferred) are also required. The position encompasses two key responsibilities: 1. Data Engineering: - Building Data Pipelines: Creating systems for collecting, storing, and transforming data from various sources. - Data Collection and Management: Gathering data, ensuring quality, and making it accessible for analysis. - Data Transformation: Converting raw data into usable formats using ETL processes for analysis and reporting. 2. Data Governance and Compliance: - Documentation Data Lineage: Documenting data requirements for data governance within Citi Information Security Office. - Data Models and Flow Diagrams: Implementing data flow diagrams to understand data movement and conducting gap analysis for remediation. - Data Models Understanding: Translating business needs into logical and physical data models to ensure data integrity and consistency. - Data Analysis and Profiling: Analyzing data sources, identifying data issues, and ensuring data quality. This role falls under the Technology job family group and Applications Support job family, and it is a full-time position at Citi. If you need accommodations due to disability, refer to the Accessibility at Citi policy. Review Citis EEO Policy Statement and the Know Your Rights poster for further information.,

As a Data Engineer with 5+ years of experience, you will be responsible for designing and developing scalable, reusable, and efficient data pipelines using modern Data Engineering platforms such as Microsoft Fabric, PySpark, and Data Lakehouse architectures. Your role will involve integrating data from diverse sources, transforming it into actionable insights, and ensuring high standards of data governance and quality. You will play a key role in establishing and enforcing data governance policies, monitoring pipeline performance, and optimizing for efficiency. Key Responsibilities Design and build robust data pipelines using Microsoft Fabric components including Pipelines, Notebooks (PySpark), Dataflows, and Lakehouse architecture. Ingest and transform data from cloud platforms (Azure, AWS), on-prem databases, SaaS platforms (e.g., Salesforce, Workday), and REST/OpenAPI-based APIs. Develop and maintain semantic models and define standardized KPIs for reporting and analytics in Power BI or equivalent BI tools. Implement and manage Delta Tables across bronze/silver/gold layers using Lakehouse medallion architecture within OneLake or equivalent environments. Apply metadata-driven design principles to ensure pipeline parameterization, reusability, and scalability. Monitor, debug, and optimize pipeline performance; implement logging, alerting, and observability mechanisms. Establish and enforce data governance policies including schema versioning, data lineage tracking, role-based access control (RBAC), and audit trail mechanisms. Perform data quality checks including null detection, duplicate handling, schema drift management, outlier identification, and Slowly Changing Dimensions (SCD) type management. Required Skills & Qualifications 5+ years of hands-on experience in Data Engineering or related fields. Solid understanding of data lake/lakehouse architectures, preferably with Microsoft Fabric or equivalent tools (e.g., Databricks, Snowflake, Azure Synapse). Strong experience with PySpark, SQL, and working with dataflows and notebooks. Exposure to BI tools like Power BI, Tableau, or equivalent for data consumption layers. Experience with Delta Lake or similar transactional storage layers. Familiarity with data ingestion from SaaS applications, APIs, and enterprise databases. Understanding of data governance, lineage, and RBAC principles. Strong analytical, problem-solving, and communication skills. Nice to Have Prior experience with Microsoft Fabric and OneLake platform. Knowledge of CI/CD practices in data engineering. Experience implementing monitoring/alerting tools for data pipelines. Join us for the opportunity to work on cutting-edge data engineering solutions in a fast-paced, collaborative environment focused on innovation and learning. Gain exposure to end-to-end data product development and deployment cycles.,

We are looking for a skilled Data Governance Engineer to take charge of developing and overseeing robust data governance frameworks on Google Cloud Platform (GCP). Your role will involve leveraging your expertise in data management, metadata frameworks, compliance, and security within cloud environments to ensure the implementation of high-quality, secure, and compliant data practices aligned with organizational objectives. With a minimum of 4 years of experience in data governance, data management, or data security, you should possess hands-on proficiency with Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, Dataproc, and Google Data Catalog. Additionally, a strong command over metadata management, data lineage, and data quality tools like Collibra and Informatica is crucial. A deep understanding of data privacy laws and compliance frameworks, coupled with proficiency in SQL and Python for governance automation, is essential. Experience with RBAC, encryption, data masking techniques, and familiarity with ETL/ELT pipelines and data warehouse architectures will be advantageous. Your responsibilities will include developing and executing comprehensive data governance frameworks with a focus on metadata management, lineage tracking, and data quality. You will be tasked with defining, documenting, and enforcing data governance policies, access control mechanisms, and security standards using GCP-native services like IAM, DLP, and KMS. Managing metadata repositories using tools such as Collibra, Informatica, Alation, or Google Data Catalog will also be part of your role. Collaborating with data engineering and analytics teams to ensure compliance with regulatory standards like GDPR, CCPA, SOC 2, and automating processes for data classification, monitoring, and reporting using Python and SQL will be key responsibilities. Supporting data stewardship initiatives, optimizing ETL/ELT pipelines, and data workflows to adhere to governance best practices will also be part of your role. At GlobalLogic, we offer a culture of caring, emphasizing inclusivity and personal growth. You will have access to continuous learning and development opportunities, engaging and meaningful work, as well as a healthy work-life balance. Join our high-trust organization where integrity is paramount, and collaborate with us to engineer innovative solutions that have a lasting impact on industries worldwide.,

As a Data Lineage Lead, your primary responsibility will be to define and lead Data Lineage standards while continuously evolving them. You will be expected to constantly seek opportunities to enhance data lineage and proactively present ideas along with relevant use cases. One of your key tasks will be to identify knowledge gaps within the team and facilitate continuous upskilling, fostering a culture of continuous learning. Additionally, you will play a crucial role in promoting process improvement initiatives within the team and creating a Data Management Centre of Excellence in India. Collaborating with Business Divisions and Group Functions, you will establish combined Objectives and Key Results (OKRs) and ensure their successful completion. You will be the owner of the standard operating procedures for the CDO Data Lineage team and responsible for the escalation framework adherence. Your duties will also involve flagging discrepancies or anomalies in data during appropriate forums and tracking them to closure. You will review and own policies and standards for the Data Lineage team, perform control testing, and provide support during audits. Key Responsibilities: - Demonstrate subject matter expertise in business/support functions such as Risk, Finance, and Wholesale Banking. - Previous experience in Data Management Operations or Data Lineage is preferred. - Possess a minimum of 12 years of experience in Data Management and Business Analysis. - Familiarity with Data Governance and/or Data Quality Management is required. - Knowledge of banking or capital markets and regulations like BCBS 239, IFRS, CCAR, and an understanding of the KDO/CDE lifecycle is beneficial. - Skilled in senior management communications and decision-making. - Ability to drive organizational changes and influence stakeholders effectively. - Methodical, concise, and detail-oriented with a strong attention to accuracy. - Foster a collaborative mindset, integrating teams towards common goals, facilitating decision-making, and valuing diverse perspectives. - Proficient in driving organizational and team culture enhancements.,

As a Vice President - Data Modeller at HSBC, you will play a crucial role in organizing and transforming complex Finance data into actionable insights through data model structures. With your strong analytical mindset and expertise in various data modelling techniques and tools, you will design and implement efficient data models that meet the data needs of the Finance business within a global financial institution. Your responsibilities will include developing conceptual, logical, and application data models aligned with HSBC's Future State Architecture, supporting Finance teams in migrating to target state data models, creating data modelling schemas in line with Enterprise data models, and contributing to the continuous improvement of the data modelling estate while ensuring compliance with regulatory standards. You will serve as a subject matter expert in data modelling, collaborate with cross-functional teams and stakeholders, maintain various data modelling documents, translate Finance business requirements into data modelling solutions, and conduct audits of data models to ensure alignment with Enterprise data models and architecture principles. To excel in this role, you should have a minimum of 10 years" experience in Data management and modelling within the Financial Services sector, preferably in a Treasury/Finance function. Experience in a large and global banking environment, knowledge of Agile and Scrum methodologies, and familiarity with data governance principles are essential. Additionally, exposure to leading data modelling tools, cloud solutions, big data technologies, and ETL architectures will be advantageous. Join HSBC and be part of a culture that values professional development, flexible working, and inclusivity. Your contributions as a Vice President - Data Modeller will be instrumental in driving the organization's strategic data needs and supporting Finance business objectives. HSBC is committed to creating a workplace where every employee is respected, valued, and provided with opportunities to grow. Your personal data will be handled in accordance with the Bank's Privacy Statement, reflecting our dedication to maintaining a secure and inclusive environment for all employees.,

As a Catalogue Technical Specialist/Analyst, you will be responsible for supporting the technical integration efforts of Alation into other enterprise systems that may contain critical data lineage or data quality information. Your daily tasks will include providing operational support for the integration catalog, managing active directory roles, maintaining integrations, and enhancing capabilities. Collaborating with Integration owners, you will identify, define, and capture integration and other key data within the integration catalog. Your role will also involve optimizing integration descriptions, keywords, and categories for effective search and discovery, as well as resolving issues related to the integration catalog promptly. Maintaining the data catalog to ensure accurate and up-to-date metadata for all data assets will be a crucial part of your responsibilities. You will establish and enforce data quality standards and guidelines across the organization, conducting regular data quality assessments and audits to address any data issues that arise. Additionally, you will act as a point of contact for data catalog-related inquiries, providing timely resolutions. Generating reports and dashboards to offer insights into data catalog usage, data quality, and metadata completeness will be an essential aspect of your role. You will also monitor and analyze data quality metrics to identify and resolve any anomalies or discrepancies, analyzing metadata to identify trends, patterns, and areas for improvement. Your experience as a self-directed individual with over 3 years of experience in integration, data & analytics, or related roles will be beneficial for this position. Experience in integration design and development on IPaaS platforms, DevOps, and CI/CD approach for integration deployment is preferred. Hands-on experience with catalog tools such as Alation or similar, as well as integrating with the ServiceNow platform, will be advantageous. Moreover, your proven experience in implementing and managing data lineage, catalog, or other solutions in complex enterprise environments, along with expertise in databases, business intelligence tools, and ETL tools, will be valuable. A strong understanding of data catalogs and their capabilities, including data dictionaries, business glossaries, business lineage, technical lineage, and data management workflows, is essential for this role. Understanding multiple system integrations, data flow, and data schema changes will also be part of your responsibilities. In summary, as a Catalogue Technical Specialist/Analyst, you will play a pivotal role in ensuring the smooth integration of Alation into various enterprise systems, maintaining data quality standards, and providing support for data catalog-related activities to enhance organizational data management practices.,

Expert in the Operating Model & AJG data governance, SOP’s for Collibra, Collibra Data Catalog KPI, manual stitching of assets in Collibra, Technical skills. Workflow Design & Stakeholder Management, Hands on exp in Data Governance & Collibra. Required Candidate profile Implementation, configuration, and maintenance of the Collibra Data Governance Platform Stewards, data owners, stakeholders, data governance, quality & integration principles Collibra Ranger Certified

You should have experience working with BigID or Collibra, along with knowledge of data classification and data products. It is important to have an understanding of data loss and personal information security. Exposure to platforms such as Snowflake, S3, Redshift, SharePoint, and Box is required. You should also have knowledge of connecting to various source systems. A deep understanding and practical knowledge of IDEs like Eclipse, PyCharm, or any Workflow Designer is essential. Experience with one or more of the following languages - Java, JavaScript, Groovy, Python is preferred. Hands-on experience with CI/CD processes and tooling such as GitHub is necessary. Working experience in DevOps teams based on Kubernetes tools is also expected. Proficiency in database concepts and a basic understanding of data classification, lineage, and storage would be advantageous. Excellent written and spoken English, interpersonal skills, and a collaborative approach to delivery are essential. Desirable Skills And Experience: - A total of 8 to 12 years of overall IT experience - Technical Degree to support your experience - Deep technical expertise - Demonstrated understanding of the required technology and problem-solving skills - Analytical, focused, and capable of working independently with minimal supervision - Good collaborator management and team player - Exposure to platforms like Talend Data Catalog, BigID, or Snowflake is beneficial - Basic knowledge of AWS is a plus - Knowledge and experience with integration technologies such as Mulesoft and SnapLogic - Proficiency in Jira, including the ability to quickly generate JQL queries and save them for reference - Proficient in creating documentation in Confluence - Experience with Agile practices, preferably having been part of an Agile team for several years,

The Enterprise Information Governance (EIG) function at London Stock Exchange Group (LSEG) is responsible for developing and maintaining a comprehensive data policy framework encompassing standards, controls, metrics, guidance, training materials, and compliance reporting. This function collaborates closely with all LSEG divisions to ensure effective control execution, compliance with standards, and provision of support and guidance. As a successful candidate, you will be instrumental in the continuous enhancement of our data governance framework. Your role will involve meeting governance expectations, enhancing data practices, and managing data resilience and risk. Key Responsibilities: - Perform control assurance for data and records key controls across various scenarios, including solution approval, architectural reviews, policy control assurance, and application decommissioning checks. - Review solutions and transformation initiatives to ensure compliance with minimum standards, record results, monitor risk, and report findings. - Act as a domain expert in data governance and records management, offering guidance on standard methodologies. - Develop relationships and coordinate with architecture forums such as Divisional Architecture Review Boards (ARBs), Central Approval Forum, and other critical groups. - Accountable for the quality and visualization of metrics requirements. - Prepare internal presentations to provide updates on the program status, progress, challenges, successes, risks, and issues. - Collaborate with the Data Governance Manager and team members to align on priorities, projects, and updates. - Participate in internal working groups as needed to support processes. Requirements: - Hands-on experience with assurance activities. - Prior knowledge in IT compliance and auditing roles. - Good understanding of control frameworks and risk management. - Experience in running operational processes. - In-depth understanding of Data Governance principles and their application within an organization. - Appreciation of data risk and associated governance controls. - Familiarity with on-premises infrastructure and cloud architecture. - Ability to collaborate effectively with engineering and technology partners. - Experience in leading data governance partnerships and delivering results within timelines. Education: - Bachelor's or master's degree in computer science, Business Administration, Information Management, or Information Sciences. - Education in Information Management, Information Science, or certification in data courses such as DAMA, CDMC, and DCAM is a plus. Joining LSEG means becoming part of a global financial markets infrastructure and data provider with a purpose of driving financial stability and empowering economies. Our values of Integrity, Partnership, Excellence, and Change guide our decision-making and actions, fostering a culture of collaboration and creativity. As part of our diverse workforce, you will contribute to sustainable growth and support the transition to net zero, creating inclusive economic opportunities. LSEG offers a range of benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you are considering applying as a Recruitment Agency Partner, it is crucial to ensure that candidates are aware of our privacy notice and their rights as data subjects.,

4CRisk is an AI start-up uniquely positioned to identify and solve the annual $300 billion Risk and Compliance problem for banks, non-bank financial institutions, and FinTech companies. The company's mission is to help customers protect brand value and strengthen revenues by reducing risk and the cost of compliance. At 4CRisk, technology, data, UI, and products have all been conceived with a customer-centric approach, believing that Culture trumps aptitude. Our Engineering center (4CRisk.ai Software Private Ltd.) in Bangalore, India is seeking bright and passionate candidates who share our vision and wish to be part of a team of talented professionals. We are looking for a Data Quality Analyst to utilize regulatory data to drive product decisions. Collaborating with cross-functional teams comprising product managers, designers, and engineers, you will apply your expertise to deliver customer insights and help shape the products we offer. Leveraging rich user data through cutting-edge technology, you will witness your insights being transformed into real products. Key Responsibilities: - Performing statistical tests on large datasets to determine data quality and integrity. - Evaluating system performance and design and its impact on data quality. - Collaborating with AI and Data Engineers to enhance data collection and storage processes. - Running data queries to identify quality issues, data exceptions, and cleaning data. - Gathering data from primary or secondary sources to identify and interpret trends. - Reporting data analysis findings to management for informed business decisions and prioritizing information system needs. - Documenting processes and maintaining data records. - Adhering to best practices in data analysis and collection. - Staying updated on developments and trends in data quality analysis. Required Experience/Skills: - Data Quality analysis experience is a must, including root-cause analysis and data slicing. - Designing, building, and executing data quality plans for complex data management solutions on modern data processing frameworks. - Understanding data lineage and preparing validation cases to verify data at each stage of the data processing journey. - Planning, designing, and conducting validations of data-related implementations to achieve acceptable results. - Developing dataset creation scripts for data verification during extraction, transformation, and loading phases by validating data mapping and transformation rules. - Supporting AI and Product Management teams by contributing to the development of a data validation strategy focusing on building the regression suite. - Documenting issues and collaborating with data engineers to resolve issues and ensure quality standards. - Efficiently capturing business requirements and translating them into functional, non-functional, and semantic specifications. - Data Profiling, Data Modeling, and Data Validation Testing experience is a plus. - 1 to 3+ years of proven experience. - Excellent presentation, communication (oral and written) in English, and relationship-building skills across all management levels and customer interactions. - Ability to collaborate with team members globally and across departments. Location: Bangalore, India.,

You will be responsible for supporting the implementation and maintenance of data governance policies, procedures, and standards specific to the banking industry. Your role will involve hands-on experience in creating and maintaining activities associated with data life cycle management and various data governance activities. You will develop, update, and maintain the data dictionary for critical banking data assets, ensuring accurate definitions, attributes, and classifications. Collaboration with business units and IT teams will be essential to standardize terminology across systems for consistency and clarity. It will also be your responsibility to document end-to-end data lineage for key banking data processes such as customer data, transaction data, and risk management data. Additionally, you will create and maintain documentation of metadata, data dictionaries, and lineage for ongoing governance processes. Experience in preparing reports and dashboards for data quality scores and lineage status will be beneficial. Qualifications: - Bachelor's degree in Information Systems or a relevant field such as B. Tech, BCA, BSc (IT), etc. Experience: - Preferred 4 years of experience in Data management life cycle and Data governance activities. This is a full-time position that requires working in person.,