866 Collibra Jobs - Page 9

JOB_POSTING-3-73744 Job Description Role Title: Analyst, Data Sourcing – Metadata (L08) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose The Analyst, Data Sourcing - Metadata (Individual Contributor) role is located in the India Analytics Hub (IAH) as part of Synchrony’s enterprise Data Office. This role is responsible for supporting metadata management processes within Synchrony’s Public and Private cloud and on-prem environments within the Chief Data Office. This role focuses on assisting with metadata harvesting, maintaining data dictionaries, and supporting the tracking of data lineage. The analyst will collaborate closely with senior team members to ensure access to accurate, well-governed metadata for analytics and reporting. Key Responsibilities Implement and maintain metadata management processes across Synchrony’s Public and Private cloud and on-prem environments, ensuring accurate integration with technical and business Metadata catalogs. Work with the Data Architecture and Data Usage teams to track data lineage, traceability, and compliance, identifying and escalating metadata-related issues. Document technical specifications, support solution design, participate in agile development, and release cycles for metadata initiatives. Adhere to data management policies, track KPIs for Metadata effectiveness and assist in assessment of metadata risks to strengthen governance. Maintain stable operations, troubleshoot metadata and lineage issues, and contribute to continuous process improvements to improve data accessibility. Required Skills Bachelor’s Degree, preferably in Engineering or Computer Science with more than 1 years’ hands-on Data Management experience or in lieu of a degree with more than 3 years’ experience. Minimum of 1 years’ experience in data management, focusing on metadata management, data governance, or data lineage, with exposure to cloud environments (AWS, Azure, or Google Cloud) and on-premise infrastructure. Basic understanding of metadata management concepts, familiarity with data cataloging tools (e.g., AWS Glue Data Catalog, AbInitio, Collibra), basic proficiency in data lineage tracking tools (e.g., Apache Atlas, AbInitio, Collibra), and understanding of data integration technologies (e.g., ETL, APIs, data pipelines). Good communication and collaboration skills, strong analytical thinking and problem-solving abilities, ability to work independently and manage multiple tasks, and attention to detail. Desired Skills AWS certifications such as AWS Cloud practitioner, AWS Certified Data Analytics – Specialty Familiarity with hybrid cloud environments (combination of cloud and on-prem). Skilled in Ab Initio Metahub development and support including importers, extractors, Metadata Hub database extensions, technical lineage, QueryIT, Ab Initio graph development, Ab Initio Control center and Express IT Experience with harvesting technical lineage and producing lineage diagrams. Familiarity with Unix, Linux, Stonebranch, and familiarity with database platforms such as Oracle and Hive Basic knowledge of SQL and data query languages for managing and retrieving metadata. Understanding of data governance frameworks (e.g., EDMC DCAM, GDPR compliance). Familiarity with Collibra Eligibility Criteria Bachelor’s Degree, preferably in Engineering or Computer Science with more than 1 years’ hands-on Data Management experience or in lieu of a degree with more than 3 years’ experience. Work Timings: 2PM - 11PM IST This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L04+ Employees can apply Grade/Level: 08 Job Family Group Information Technology

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. E Y GDS – Data and Analytics (D&A) – Senior – Collibra As part of our EY-GDS D&A (Data and Analytics) team, we assist our clients in overcoming complex business challenges through the power of data and technology. We delve deep into data to extract maximum value and uncover opportunities across key sectors, including Banking, Insurance, Manufacturing, Healthcare, Retail, Supply Chain, and Finance. The opportunity We are seeking candidates with a robust understanding of technology and data in the Data Governance and Data Cataloguing space, along with a proven track record of successful delivery. This is an excellent opportunity to join a leading firm and be part of a dynamic Data and Analytics team. Your Key Responsibilities Develop standardized practices for creating and deploying data cataloguing and metadata solutions using Collibra. Collaborate with client technology leaders to understand their business objectives and architect data governance solutions tailored to their needs. Define and implement best practices for metadata management specific to client requirements. Create and maintain data dictionaries and hierarchies within Collibra. Integrate Collibra into the broader Data Analytics ecosystem, ensuring seamless functionality with other tools. Skills And Attributes For Success 3 - 7 years of total IT experience. Strong experience in designing and building solutions using Collibra (Data Catalog, Metadata ingestion, Data Classification & Tagging, Data Lineage, Workflow creation). Extensive experience in developing and maintaining data cataloguing solutions. Proficient programming skills in Python/ Java/ Groovy. Solid understanding of Data Governance and Metadata management principles. Hands-on experience with API Integration. Familiarity with at least one other data governance tool such as MS Purview/Alation/Informatica. Knowledge of data engineering pipelines in with Informatica PowerCenter, IDMC is preferred. Knowledge of data engineering pipelines in Azure/Databricks is preferred. Experience with BI and data analytics databases is a plus. Ability to translate business challenges into technical solutions, considering security, performance, and scalability. To qualify for the role, you must have. Be a computer science graduate or equivalent with > 3 years of industry experience. Have working experience in an Agile base delivery methodology. Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support. Ideally, you’ll also have Client management skills Solutioning skills EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Only Face to Face interview at Mumbai Mahape JD, Data Governance + Data Governance Quality Lead JD Location : L&T Finance, Mahape, Navi Mumbai, India We are seeking a skilled Data Governance Lead to join our growing team. The ideal candidate should bring 58 years of overall experience in software engineering, including 24 years of focused expertise in Data Governance practices such as data cataloguing, data lineage, data quality, data purging, data reliability, and data accessibility . Hands-on experience with Data Governance tools is essential, with preference given to those familiar with Ab Initio (preferred), Informatica, Talend, Atlan, Databricks, or Snowflake. Strong communication and collaboration skills are required to engage effectively with business and application stakeholders across L&T Finance. If you're passionate about building robust data governance frameworks and thrive in a dynamic environment, this is an excellent opportunity to advance your career. WHO WE ARE L&T Finance is one of Indias leading Non-Banking Financial Companies (NBFCs), known for its innovation-driven lending solutions across retail, rural, and infrastructure finance. With a strong commitment to digital transformation and data-led decision making, we offer a dynamic workplace where your contributions shape the financial future of millions. Join us to be a part of an organization that values growth, integrity, and impact. PROFESSIONAL SUMMARY Experienced Data Governance Lead with a strong foundation in software engineering and proven expertise in establishing enterprise-grade data governance practices, including data cataloging, lineage, quality, and accessibility. Skilled in tools like Ab Initio (Preferred), Informatica, and Snowflake, with a track record of effective collaboration across business and technology teams. RESPONSIBILITIES 1. Define and implement enterprise-wide data governance frameworks and policies. 2. Establish and manage data cataloguing, lineage, quality, and metadata standards. 3. Collaborate with business stakeholders to gather and translate data governance requirements. 4. Ensure data compliance with RBI and Indian regulatory norms (e.g., Aadhaar, CKYC, credit bureau norms). 5. Drive data classification and access control in line with internal security and compliance needs. 6. Identify and document business data definitions and ownership. 7. Coordinate with data engineering teams to embed governance rules into data pipelines. 8. Lead periodic data quality assessments and remediation plans. 9. Maintain a central inventory of critical data assets across the NBFC. 10. Guide adoption and optimization of data governance tools like Ab Initio (Preferred), Informatica, Atlan, or Snowflake. 11. Define roles and responsibilities for data stewards and custodians. 12. Train and evangelize data governance practices across departments. 13. Support audit and compliance reporting through accurate data lineage and usage logs. 14. Ensure business continuity with proper data backup, archival, and purging strategies. 15. Align governance goals with broader digital transformation and analytics strategies. TECHNICAL SKILLS 1.) Technical Skills: Strong experience with data governance tools (e.g., Ab Initio (preferred) , Informatica , Atlan , Collibra , Snowflake , or Databricks ). Hands-on knowledge of data cataloguing , data lineage , data quality , and data access control . Understanding of Indian regulatory compliance standards (e.g., RBI guidelines , CKYC , Aadhaar , credit bureau data usage ). Familiarity with data modelling , metadata management , and ETL/ELT pipelines . Proficient in querying and validating data using SQL or similar languages. Experience working in or with data warehouse environments like BigQuery , or GCP-based lakes . Shell Scripting, Python, JSON, Java 8 & above, Spring Boot, REST APIs, GCP, Debugging skills, Design. GEN AI, LLM, RAG, Agentic RAG are preferred. 2.) Collaboration & Communication: Proven ability to collaborate with cross-functional teams including business, compliance, risk, and engineering. Strong documentation and requirement gathering skills to align technical governance with business objectives. Skilled in stakeholder management and articulating data governance value to non-technical audiences. Experience driving adoption of governance practices across enterprise functions. 3.) Personality Traits & Leadership: Detail-oriented with a strong sense of data integrity and accuracy. Self-driven , with the ability to take ownership and lead governance initiatives independently. Process-oriented thinker with a structured approach to problem-solving. Influencer with the ability to promote data discipline across teams. Demonstrates professional integrity , especially while handling sensitive financial and customer data. Adaptable to change and comfortable working in a fast-paced NBFC environment . QUALIFICATIONS 1. BE/B. Tech and/or M. Tech in any discipline 2. 5-8 years of industry experience and 4-6 years in any Data Governance tool (preferred is Ab Initio) 3. Strong problem-solving skills. 4. Good collaboration skills. 5. Good communication skills. 6. Good leadership skills.

The IT Business Senior Analyst is an intermediate-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning. Responsibilities: Formulate and define systems scope and objectives for complex projects and foster communication between business leaders and IT Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions Support system change processes from requirements through implementation and provide input based on analysis of information Consult with business clients to determine system functional specifications and provides user and operational support Identify and communicate risks and impacts, considering business implications of the application of technology to the current business environment Act as advisor or coach to new or lower level analysts and work as a team to achieve business objectives, performing other duties and functions as assigned Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5-8 years of relevant experience Experience in data analysis with intermediate/advanced Microsoft Office Suite skills Proven interpersonal, data analysis, diplomatic, management and prioritization skills Consistently demonstrate clear and concise written and verbal communication Proven ability to manage multiple activities and build/develop working relationships Proven self-motivation to take initiative and master new tasks quickly Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail Education: Bachelor's degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Position Overview: We are seeking an experienced and dynamic IT Business Senior Analyst (Assistant Vice President) to work on initiatives related to Data Governance and Control Codification projects. The ideal candidate should have a strong understanding of data quality , control frameworks , and codification processes , along with extensive knowledge of the banking and finance domain . This role requires a blend of technical expertise, business acumen, and leadership skills to ensure the successful delivery of data governance initiatives. Key Responsibilities: Senior Analyst in Data Governance and Control Codification projects, ensuring alignment with organizational goals and regulatory requirements. Define and implement data quality frameworks, standards, and processes to ensure the accuracy, consistency, and reliability of data. Collaborate with cross-functional teams to identify, document, and codify controls for critical data elements. Work closely with stakeholders to understand business requirements and translate them into actionable technical solutions. Ensure compliance with data governance policies, regulatory standards, and industry best practices. Drive the adoption of data governance tools and technologies to enhance data quality and control processes. Provide subject matter expertise in banking and finance, ensuring that data governance initiatives align with industry-specific requirements. Monitor and report on the effectiveness of data governance and control frameworks, identifying areas for improvement. Mentor and guide team members, fostering a culture of accountability and continuous improvement. Required Skills and Qualifications: 8+ years of experience in IT Business Analysis, with a focus on Data Governance, Data Quality, and Control Codification. Strong understanding of data quality frameworks, data lineage, and metadata management. Experience in the banking and finance domain, with knowledge of regulatory requirements and industry standards. Proficiency in data governance tools (e.g., Collibra, Informatica, or similar) and data quality tools. Strong analytical and problem-solving skills, with the ability to work with large datasets and complex systems. Excellent communication and stakeholder management skills, with the ability to bridge the gap between technical and business teams. Bachelor's or Master's degree in Computer Science, Information Systems, Finance, or a related field. Preferred Qualifications: Experience with control frameworks such as COSO, COBIT, or similar. Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their impact on data governance. Familiarity with data visualization tools (e.g., Tableau, Power BI) for reporting and analysis. Certifications in data governance or related fields (e.g., CDMP, DGSP). ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Business Analysis / Client Services ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Role: Product Manager/ Business Analyst Exp: 10 Years Relevant Exp: 10 Years Location: Bangalore, Noida, Gurgaon, Pune, Mumbai, Hyderabad - Hybrid 3 Days in a Week WFO Immediate Joiners Only JD: Must Have: Capital Markets Experience needed (must) Data Governance (Data Controls and Lineage) Lineage: When the Trading Data originates from the Trading System - how does it transform (how does it change - compared to the origination). Tells you how the data travel from one hop to another did (there are some industry tools) Controls : Each hop has some controls for every scenario Tools/ Similar Tools the person should know : Collibra (shows which point comes from where what control can be applied) Gen AI Usage Key Responsibilities: Capture and document data lineage across trade and post-trade systems (e.g., ingestion, enrichment, reporting). Work with architects to define lineage frameworks that are scalable, auditable, and aligned with regulatory expectations (e.g., BCBS 239, GDPR, Dodd-Frank). Work closely with product teams and data architects to model system interactions and data transformation logic . Leverage AI tools to pre-populate lineage metadata, identify transformation candidates, and reduce manual documentation. Develop and maintain lineage artifacts : system dictionaries, source-to-target mappings, transformation rules. Ensure lineage documentation is traceable and auditable across the enterprise. Support data governance and control teams with lineage artifacts for regulatory reporting and audit readiness. Collaborate with the metadata team to integrate lineage into governance tools (e.g., Collibra, Solidatus). Required Skills: 10+ years in data architecture, data modeling, or data consulting roles in capital markets. Deep understanding of capital markets products , trade lifecycle, and data flows (e.g., bonds, equities, repos, securities lending). Strong understanding of trade lifecycle and related data flows. Strong experience with data lineage strategy , metadata modeling, and lineage documentation tools (e.g., Collibra, Solidatus, Informatica, Alation, or similar). Proven experience with data lineage documentation , preferably in complex financial environments. Familiarity with industry schemas (FpML, FIX, ISO 20022). Proficiency with metadata tools and lineage accelerators . Experience working in projects that involved automation or AI/ML for metadata or lineage capture is preferred. Hands-on experience with SQL and querying complex data systems. Strong communication skills with the ability to engage business and technical stakeholders effectively. Ability to work independently in a fast-paced, client-facing environment.

Job Role : Data Governance Specialist 12+ years in data governance, enterprise data management, or related fields. Proven track record implementing data governance programs in medium to large enterprises. Strong understanding of data quality, MDM, data privacy, metadata, and lineage. Hands-on experience with governance tools (Collibra, Informatica, Alation, or Purview). Experience with data management technologies such as Snowflake, Azure Data Lake, Redshift, or BigQuery is preferred. Familiarity with data modeling concepts and regulatory frameworks. Excellent communication, facilitation, and stakeholder engagement skills. Preferred Certifications : DAMA Certified Data Management Professional (CDMP) Collibra Ranger or Alation Steward certification CIPP (Certified Information Privacy Professional) optional Job Profile: The Data Governance Specialist is responsible for establishing and maintaining a robust data governance framework that aligns with the organizations business objectives and compliance requirements. This role ensures the availability, integrity, security, and usability of data assets while promoting accountability and ownership of data across the enterprise.

Job Description: ABOUT OUR DEPARTMENT Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firms businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.The TEDRA department maintains, distributes, and reports on Institutional Securities data. It is also responsible for developing and supporting applications for middle-office cash processing that facilitate straight-through processing by enriching trades and providing client allocation tools.Our team is looking for a talented and experienced professional to join and contribute to the collection and cataloging of the Metadata and Lineage of data persisted and distributed across the plant to the Firmwide Data Catalog. The ideal candidate will have a deep understanding of data architecture, data flow, data governance practices, and metadata cataloging. In this role, you will be responsible for designing, implementing, and maintaining a comprehensive data lineage solution that ensures visibility and traceability of data throughout its lifecycle across various systems and platforms. This is a challenging and dynamic role, requiring the data lineage developer to partner with other global technical and business teams inside and outside of the TEDRA area to ensure that data flows are well-documented, optimized, and auditable. Your work will directly contribute to our organization's ability to improve data quality, ensure regulatory compliance, and enhance decision-making through trusted data. Responsibilities: Analysis of business processes to understand current setup, navigating through multiple systems, products and coordinate with multiple stakeholders. Work with stakeholders to define and map the end-to-end flow of data, identifying sources, transformations, destinations, and dependencies. Implement solutions to catalog metadata from diverse data sources, including MongoDB, Snowflake, and relational databases (e.g., SQL Server, DB2). Collaborate with firmwide data governance teams to ensure that lineage metadata is integrated with Collibra for auditing and compliance purposes. Develop processes to monitor data quality and ensure that data lineage tracks and reflects accurate data transformations and business rules. Design and implement automation tools and scripts to capture and maintain data lineage information and catalog updates on a scheduled basis. Create clear, understandable, and accurate documentation of data lineage for business users and technical teams. Identify and resolve issues related to data inconsistencies, lineage discrepancies, or errors in data transformation processes. Document technical requirements, specifications, and solutions. Required skills: 4+ years of development experience. Experience/exposure in data engineering, data governance, or related fields, with a focus on data lineage and metadata cataloging. Strong expertise in data modeling, SQL, Stored Procedures/triggers, etc. Should possess good knowledge of OO, data structures and algorithms. Experience with data modeling, ETL pipelines, and data transformation. Experience with SQL and relational databases (e.g., Sybase, DB2, SQL Server). Proficiency in Python, Java, or other scripting languages for data integration and automation tasks. Strong analytical and troubleshooting skills with the ability to solve complex data flow problems. Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment with cross-functional teams. Good to have: Experience with Collibra Knowledge of metadata management practices, including the ability to extract and catalog metadata from complex data sources such as MongoDB, Snowflake, and relational databases Understanding of data privacy regulations (e.g., GDPR, CCPA) and their impact on data lineage and governance Experience of working in Agile teams

JOB_POSTING-3-73675 Job Description Role Title: Analyst, Data Sourcing – Metadata (L08) Company Overview : Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose The Analyst, Data Sourcing - Metadata (Individual Contributor) role is located in the India Analytics Hub (IAH) as part of Synchrony’s enterprise Data Office. This role is responsible for supporting metadata management processes within Synchrony’s Public and Private cloud and on-prem environments within the Chief Data Office. This role focuses on assisting with metadata harvesting, maintaining data dictionaries, and supporting the tracking of data lineage. The analyst will collaborate closely with senior team members to ensure access to accurate, well-governed metadata for analytics and reporting. Key Responsibilities Implement and maintain metadata management processes across Synchrony’s Public and Private cloud and on-prem environments, ensuring accurate integration with technical and business Metadata catalogs. Work with the Data Architecture and Data Usage teams to track data lineage, traceability, and compliance, identifying and escalating metadata-related issues. Document technical specifications, support solution design, participate in agile development, and release cycles for metadata initiatives. Adhere to data management policies, track KPIs for Metadata effectiveness and assist in assessment of metadata risks to strengthen governance. Maintain stable operations, troubleshoot metadata and lineage issues, and contribute to continuous process improvements to improve data accessibility. Required Skills & Knowledge Bachelor’s Degree, preferably in Engineering or Computer Science with more than 1 years’ hands-on Data Management experience or in lieu of a degree with more than 3 years’ experience. Minimum of 1 years’ experience in data management, focusing on metadata management, data governance, or data lineage, with exposure to cloud environments (AWS, Azure, or Google Cloud) and on-premise infrastructure. Basic understanding of metadata management concepts, familiarity with data cataloging tools (e.g., AWS Glue Data Catalog, AbInitio, Collibra), basic proficiency in data lineage tracking tools (e.g., Apache Atlas, AbInitio, Collibra), and understanding of data integration technologies (e.g., ETL, APIs, data pipelines). Good communication and collaboration skills, strong analytical thinking and problem-solving abilities, ability to work independently and manage multiple tasks, and attention to detail. Desired Skills & Knowledge AWS certifications such as AWS Cloud practitioner, AWS Certified Data Analytics – Specialty Preferred Qualifications Familiarity with hybrid cloud environments (combination of cloud and on-prem). Skilled in Ab Initio Metahub development and support including importers, extractors, Metadata Hub database extensions, technical lineage, QueryIT, Ab Initio graph development, Ab Initio Control center and Express IT Experience with harvesting technical lineage and producing lineage diagrams. Familiarity with Unix, Linux, Stonebranch, and familiarity with database platforms such as Oracle and Hive Basic knowledge of SQL and data query languages for managing and retrieving metadata. Understanding of data governance frameworks (e.g., EDMC DCAM, GDPR compliance). Familiarity with Collibra Eligibility Criteria: Bachelor’s Degree, preferably in Engineering or Computer Science with more than 1 years’ hands-on Data Management experience or in lieu of a degree with more than 3 years’ experience. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L04+ Employees can apply Grade/Level: 08 Job Family Group Information Technology

You Lead the Way. We’ve Got Your Back, At American Express, our culture is built on a 175-year history of innovation, shared values and leadership behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description The Global Merchant & Network Services (GMNS) organization is responsible for managing relationships with millions of Merchants and Partners around the world that facilitate American Express acceptance and enabling the day-to-day operations of our company’s payment network. The people, processes, and technology that support this vital function are evolving to improve the merchant experience and economics. Within GMNS, the Global Strategy, Operations & Performance (GSOP) team’s mission is to deliver a best-in-class premium merchant member experience that will get merchant to not only accept American Express but openly welcome and recommend us to their customers. . The GMNS Data Office is responsible for bringing GMNS critical data elements and applications under the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79) compliance. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Data Steward Delegate, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise. Other Primary Responsibilities: Responsible for supporting the Data Steward in identifying data incidents, performing root-cause-analysis of data incidents and driving remediation of audit and regulatory feedback. Develop advanced knowledge on the Enterprise Data Management Operating Policy in order to support the Data Steward in the execution of their role. Responsible for holistic platform data quality monitoring, including but not limited to key reports. Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams. Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit. Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements. Responsible to partner with the Data Steward in developing and managing the data management roadmap. Collaborate with and influence product managers to ensure all new use cases are managed according to policy. Qualifications: Bachelor’s degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Strong communications skills. Working knowledge of current and upcoming data governance, data management and data product techniques and trends. Eagerness to test, learn, fail and improve is crucial. Must have a positive, collaborative leadership style with colleague and customer first attitude Certification as a Data Management Professional (CDMP) or other similar data management certification preferred. Certifications and experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools preferred. Incident management and reporting, risk/data risk management, data breach management, data classification and handling, data quality monitoring and improvement, and data governance/compliance management experience preferred Working knowledge of SQL & Python or other programming language preferred. Prior experience with Agile or SAFe project methodologies preferred.

Detailed JD: Enterprise Data Steward (Long-Term Role) Overview We are seeking a Data Steward to support enterprise-level data governance initiatives as part of a newly formed group focused on centralizing governance activities across structured and unstructured data domains. This includes Microsoft 365, SharePoint, Teams, and internal ERP systems. This is a long-term role with strategic impact across global teams, including India and LATAM. The candidate will report to the US-ITS Data Strategy & Governance Officer (Office of the CDO) and collaborate with stakeholders across business lines and enabling areas. Key Responsibilities Work as subject matter expert in best practices for data governance and quality, ensuring appropriate safeguards are in place. Demonstrate active ownership of specific data domains, processes, and procedures. Create/edit data requirements, data models, data dictionaries, process maps, and data lineage/mapping. Utilize a standardized approach to capture and document metadata across data domains. Communicate with stakeholders to gather and address data requirements and feedback. Develop valuation and quality measures and share them across business units. Manage metadata and data quality processes using tools like Informatica, Collibra, SAP, and Microsoft 365. Tag and classify unstructured data (e.g., PII) across platforms such as SharePoint, Teams, and internal ERP systems. Support compliance with ISO standards, GDPR, SOX, and internal AI data controls. Manage assets within DTUS (Data Technology Unified Services) and support lifecycle governance for SuccessFactors/HXM data. Drive continuous improvement efforts, monitor results, and conduct benchmarking activities. Ensure adherence to standards, data quality, problem management, and change management. Partner with the Project Management Office to integrate governance into project lifecycles, including data migration. Lead change management and training related to the rollout and ongoing activities of the Data Governance program. Qualifications 3–5 years of experience in data management with demonstrated ability to analyze, interpret, and explain systems and approaches for data to enable business decisions. Mastery of relational database theories and schemas. Ability to influence and engage stakeholders; strong communication skills. Ability to build trust and credibility with peers and leaders. Comfortable working in dynamic, evolving environments. “Can do” attitude – willingness to accept challenges and solve problems both strategically and tactically. Excellent collaboration skills with flexibility and diplomacy while maintaining adherence to principles. Consistent, high-quality customer-focused orientation, including providing clear, accurate information. Relevant Bachelor's Degree in Business, Computer Science, Engineering, Information Technology, Finance, Technical, Data Science, or Statistics. Additional qualifications based on client feedback: Experience with Informatica, SAP, Collibra, and Microsoft 365 platforms. Familiarity with data privacy regulations including PII handling, GDPR, and SOX. Familiarity with ISO standards and AI-related data governance controls. Experience managing unstructured data and supporting global teams (India and LATAM).

About the Role: We are seeking a highly skilled and experienced Collibra Expert to lead and manage our enterprise-level data governance initiatives using Collibra. This role requires deep expertise in Collibra’s platform, including configuration, integration, workflow development, and stakeholder engagement. The ideal candidate will be responsible for implementing and maintaining data governance frameworks, ensuring data quality, and enabling data stewardship across the organization. Key Responsibilities: Lead the end-to-end implementation and administration of the Collibra Data Intelligence Platform. Design and configure Collibra Operating Model, including domains, assets, workflows, and roles. Develop and maintain custom workflows using BPMN and Collibra Workflow Designer. Integrate Collibra with enterprise systems (e.g., Snowflake, Informatica, Tableau, Azure, SAP) using APIs and connectors. Collaborate with data stewards, data owners, and business users to define and enforce data governance policies. Implement and monitor data quality rules, lineage, and metadata management. Provide training and support to business and technical users on Collibra usage and best practices. Act as a Collibra SME and evangelist within the organization, promoting data governance maturity. Maintain documentation and ensure compliance with internal and external data governance standards. Required Skills & Qualifications: 10+ years of experience in data governance, metadata management, or data quality. 5+ years of hands-on experience with Collibra, including configuration, workflow development, and integration. Strong understanding of data governance frameworks, data stewardship, and data lifecycle management. Proficiency in Collibra APIs, BPMN, and scripting languages (e.g., Groovy, JavaScript). Experience with data cataloging, lineage, and business glossary in Collibra. Familiarity with data platforms like Snowflake, Azure, AWS, Informatica, or similar. Excellent communication and stakeholder management skills. Collibra Ranger or Solution Architect certification is a plus. Preferred Qualifications: Experience in enterprise-level deployments of Collibra. Knowledge of regulatory compliance (e.g., GDPR, HIPAA, CCPA). Background in data architecture or data engineering is a plus.

Solution Architect Experience: 10 - 15 Years Exp Salary : INR 25-40 Lacs per annum Preferred Notice Period : 30 Days Shift : 10:0 AM to 6:00 PM IST Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow AND Snowflake AND dbt Inferenz (One of Uplers' Clients) is Looking for: Solution Architect who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Overview: We are looking for a seasoned Solutions Architect with strong expertise in Snowflake, DBT (Data Build Tool), and Apache Airflow to define and lead our data architecture strategy. You will be responsible for designing scalable, secure, and efficient data pipelines and optimizing our cloud-based data platform. The ideal candidate has a strong background in the modern data stack and a proven ability to deliver enterprise-grade data solutions. Key Responsibilities: Design and architect scalable, secure, and high-performing data solutions using Snowflake, DBT, and Airflow. Translate business requirements into technical data models and solutions in collaboration with stakeholders, data engineers, and analysts. Define and enforce best practices for data modeling, ELT pipeline development, and metadata management. Provide architectural guidance and mentorship to data engineering teams. Lead technical reviews, architecture governance, and data quality assessments. Ensure adherence to data privacy, security, and compliance regulations. Monitor, troubleshoot, and optimize the performance of Snowflake workloads, Airflow DAGs, and DBT models. Evaluate and recommend new tools, frameworks, and architecture strategies. Required Skills & Qualifications: 10+ years of experience in data engineering and architecture roles. Proven hands-on experience with: Snowflake: Data warehouse architecture, query optimization, role-based access control DBT: Model creation, testing, documentation, and version control Apache Airflow: DAG development, orchestration, monitoring, scheduling Strong command of SQL, data modelling (Star/Snowflake schemas), and ETL/ELT processes Proficiency in Python and scripting for automation and data pipeline development Experience with at least one major cloud platform (AWS, Azure, or GCP) Familiarity with CI/CD practices for data deployments Excellent communication, leadership, and analytical problem-solving skills Preferred Qualifications: Snowflake or dbt certification(s) preferred. Experience integrating with BI tools (e.g., Tableau, Power BI). Familiarity with data catalog and lineage tools like Alation, Collibra, or Atlan. Prior experience working in Agile/Scrum environments. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Solution Architect Experience: 10 - 15 Years Exp Salary : INR 25-40 Lacs per annum Preferred Notice Period : 30 Days Shift : 10:0 AM to 6:00 PM IST Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow AND Snowflake AND dbt Inferenz (One of Uplers' Clients) is Looking for: Solution Architect who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Overview: We are looking for a seasoned Solutions Architect with strong expertise in Snowflake, DBT (Data Build Tool), and Apache Airflow to define and lead our data architecture strategy. You will be responsible for designing scalable, secure, and efficient data pipelines and optimizing our cloud-based data platform. The ideal candidate has a strong background in the modern data stack and a proven ability to deliver enterprise-grade data solutions. Key Responsibilities: Design and architect scalable, secure, and high-performing data solutions using Snowflake, DBT, and Airflow. Translate business requirements into technical data models and solutions in collaboration with stakeholders, data engineers, and analysts. Define and enforce best practices for data modeling, ELT pipeline development, and metadata management. Provide architectural guidance and mentorship to data engineering teams. Lead technical reviews, architecture governance, and data quality assessments. Ensure adherence to data privacy, security, and compliance regulations. Monitor, troubleshoot, and optimize the performance of Snowflake workloads, Airflow DAGs, and DBT models. Evaluate and recommend new tools, frameworks, and architecture strategies. Required Skills & Qualifications: 10+ years of experience in data engineering and architecture roles. Proven hands-on experience with: Snowflake: Data warehouse architecture, query optimization, role-based access control DBT: Model creation, testing, documentation, and version control Apache Airflow: DAG development, orchestration, monitoring, scheduling Strong command of SQL, data modelling (Star/Snowflake schemas), and ETL/ELT processes Proficiency in Python and scripting for automation and data pipeline development Experience with at least one major cloud platform (AWS, Azure, or GCP) Familiarity with CI/CD practices for data deployments Excellent communication, leadership, and analytical problem-solving skills Preferred Qualifications: Snowflake or dbt certification(s) preferred. Experience integrating with BI tools (e.g., Tableau, Power BI). Familiarity with data catalog and lineage tools like Alation, Collibra, or Atlan. Prior experience working in Agile/Scrum environments. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Details: Job Summary: EDM International team is looking for a versatile and a technologist Data Engineer who would be responsible for designing, implementing, and managing Master Data Management (MDM) data solutions to ensure data accuracy, consistency, and availability across the organization. This role involves in you working closely with business stakeholders, data stewards, and IT teams to develop and maintain the MDM enterprise solutions. Key Responsibilities: Design and develop MDM solutions to support business processes and data governance Implement data integration processes to ensure accurate and consistent master data across systems Monitor and maintain the MDM environment, ensuring data quality and integrity Troubleshoot and resolve data-related issues and discrepancies Utilize Collibra to manage data governance, data cataloging, and data stewardship activities Support Data Quality Products like Information Steward, Information Steward Accelerator Data migration and integration apps like BODS, Data Catalog apps like Collibra Develop and maintain documentation for MDM processes and solutions Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience in MDM implementation and management Experience with MDM tools such as Informatica MDM, SAP MDG, and or similar industry standards toolset Strong knowledge of data integration tools and techniques Proficiency in SQL and database management Experience with data governance and data quality management Experience with GCP Data Engineering Excellent analytical, troubleshooting and problem-solving skills Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Preferred Qualifications: Experience with Information Steward and Information Steward Accelerator for data quality enhancement Experience with Collibra for data governance and management Experience on Analytical platforms like SAP EAP, GCP Data Lake Knowledge of cloud platforms and services (e.g., AWS, Azure) Experience with data modeling and data architecture Relocation Assistance Eligible: No Work Shift: Tyson is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.

Role Summary: The Data Governance Office (DGO) is an enterprise function of the London Stock Exchange Group (LSEG). The objective of our function is to set, and enable businesses and internal functions to meet, minimum standards for data governance and data resilience, so that LSEG produces trusted data for its products and services, externally and internally. The DGO is responsible for the data governance policy framework and for the provision and support of centralised tools including data cataloguing and lineage and integration with divisional systems. The DGO collaborates closely with divisional Chief Data Officers who are responsible for driving implementation of the Policy across their respective businesses and internal functions through adoption of centralised and divisional tooling. The Enterprise Business Glossary Specialist will be responsible for managing and maintaining the business glossary, ensuring that definitions and terms are consistent across the organization. This role will also oversee the training and support for users, ensuring they receive adequate training and ongoing assistance. Additionally, the specialist will integrate and manage Power BI reports and dashboards to provide insights and visualizations related to the business glossary. The role will also involve evolving the enterprise business glossary mechanisms as needed to adapt to changing tools and requirements. Key Responsibilities: Manage the Business Glossary: Ensure consistent definitions and terms across the organization. Training and Support: Oversee training and support for users, ensuring they receive adequate training and ongoing assistance. Collaboration: Work closely with various departments to ensure alignment of data governance practices and standards. Data Taxonomy: Develop and maintain a comprehensive data taxonomy to ensure consistent data definitions and classifications. SME Input: Provide subject matter expert (SME) input to ensure well-designed capabilities and enhancements to data governance tools. Power BI Integration: Integrate and manage Power BI reports and dashboards to provide insights and visualizations related to the business glossary. Internal Working Groups: Participate in internal working groups to support the adoption of data governance tools. Documentation: Create and maintain documentation related to the business glossary and data taxonomy. Open Mindset: Maintain an open mindset with the possibility of changing tools as needed. Collibra Knowledge: Have a strong understanding and experience with Collibra for data governance. Triage Management: Manage and track the triage process to ensure issues are addressed promptly. Asana Usage: Utilize Asana for project management and tracking tasks. Evolve Business Mechanisms: Continuously evolve the enterprise business mechanisms to adapt to changing tools and requirements. Skills & Experience: Data Governance Knowledge: Strong understanding of data governance frameworks, best practices, and industry standards. Business Glossary Management: Experience in managing business glossaries and data taxonomies. Power BI Proficiency: Proficiency in Power BI for creating reports and dashboards. Collibra Expertise: Strong knowledge and experience with Collibra. Triage Management: Experience in managing and tracking the triage process. Asana Proficiency: Proficiency in using Asana for project management. Communication Skills: Excellent communication skills, both written and verbal, with the ability to engage and influence stakeholders. Problem-Solving Skills: Strong problem-solving and analytical skills, with attention to detail. Collaboration: Ability to work independently and collaboratively in a cross-functional environment. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements. At PwC - AC, as a Data Governance Senior Associates, the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements, responsible for designing, establishing, implementing and sustaining a Data Governance Strategy and ensure that data assets which are subject to the governance processes within the Data office are addressed. The candidate is responsible for deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management. Support the development and maintenance of an end-to-end data lifecycle management approach. Deliver status updates on data quality by updating a Data Quality dashboard Years of Experience: Candidates with 4-8 years of hands-on experience Position Requirements Must Have : Experience in data governance initiatives in the areas of metadata management, data quality and master data management (MDM). Experience in the use of data catalogs and data quality technologies Experience in operating large data governance programs. Knowledge of Cloud based big data frameworks such as data lake, relational, Graph and other no-SQL databases Hands-on experience with Data Quality tools and frameworks for profiling, cleansing, matching, and monitoring data quality across various platforms. Proficiency in Data Governance technologies and concepts including metadata management, policy enforcement, and data stewardship. Experience in managing enterprise data assets in a large, complex organization Hands on experience in data lifecycle management along with enablement of governance tools and technologies such as Collibra, Talend governance, Informatica Axon, Qlik catalog etc Strong understanding of Databases and Data Structures Proficient in modern data architecture involving data lake, unstructured and structured data warehouses, cloud databases such as snowflake, redshift etc. Business / domain knowledge along with technical expertise Experience in leading technical teams, guiding and mentoring team members Good analytical & problem-solving skills Good communication and presentation skills Desired Knowledge / Skills Knowledge of MDM platforms like Informatica MDM, IBM InfoSphere MDM, or Stibo Systems. Experience / Knowledge of AWS/GCP/Azure Cloud services and catalog of products especially in the way of data ingestion, storage capabilities, data security, databases, reporting and analytics. Certifications in data management, governance, or relevant technologies. Worked in Offshore / Onsite Engagements Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Additional Information Travel Requirements: Travel to client locations may be required as per project requirements. Line of Service: Advisory Horizontal: Technology Consulting Designation: Senior Associate Location: Anywhere in India Good analytical & problem-solving skills Good communication and presentation skills

Job Title - AI Data Analyst Preferred Location - Bangalore Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do Job Summary We are looking for a skilled Data Analyst with over 5 years of experience to join our team. The ideal candidate will have a strong background in data management principles, data engineering, and modeling, with hands-on expertise in building data models and data catalogs. This role requires knowledge of data marketplaces, data products, and Agile frameworks, along with a solid understanding of a specific business process (e.g., Supply Chain, Finance, Operations). The Data Analyst will play a key role in transforming raw data into actionable insights, ensuring data quality, and supporting data-driven decision-making across the organization. Key Responsibilities Analyze and interpret complex datasets to provide actionable insights that support business objectives in areas such as Supply Chain, Finance, or Operations. Apply data management principles, including data governance, data quality, and metadata management, to ensure reliable and trustworthy data assets. Collaborate with data engineering teams to design and optimize ETL processes, ensuring efficient data extraction, transformation, and loading. Build and maintain data models using industry-standard data modeling tools to support reporting, analytics, and data integration needs. Develop and manage data catalogs using data catalog tools to enhance data discoverability, lineage, and governance. Contribute to the design and implementation of data marketplaces and data products, enabling self-service access to high-quality datasets. Work within an Agile framework, participating in sprint planning, stand-ups, and retrospectives to deliver iterative data solutions. Partner with business stakeholders to understand specific processes (e.g., Supply Chain, Finance, Operations) and translate requirements into data-driven solutions. Monitor data quality, identify anomalies, and recommend improvements to enhance data integrity and usability. Create visualizations, reports, and dashboards to communicate findings effectively to technical and non-technical audiences. Required Skills And Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. 5+ years of experience as a Data Analyst or in a similar role, with a proven track record of delivering data solutions. Strong experience in data management principles, including data governance, data quality, and metadata management. Proficiency in data engineering concepts, such as ETL processes and data analysis, with hands-on experience in related tools (e.g., SQL, Python, Informatica). Demonstrated expertise in building data models using data modeling tools (e.g., ER/Studio, dbt, PowerDesigner). Practical experience in developing and maintaining data catalogs with tools like Atlan, Collibra, or Informatica Data Catalog. Knowledge of data marketplaces and data products, with an understanding of their role in enabling data accessibility and value creation. Experience working in an Agile framework, delivering incremental value through iterative development cycles. Good understanding of at least one specific business process (e.g., Supply Chain, Finance, Operations) and its data requirements. Strong analytical skills, with the ability to work with large datasets and derive meaningful insights. Excellent communication skills to collaborate with cross-functional teams and present findings to diverse stakeholders. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Familiarity with BI tools like Tableau, Power BI, or Looker for data visualization. Exposure to advanced analytics techniques, such as predictive modeling or machine learning. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice

About This Role Wells Fargo is seeking a Data Management Manager In This Role, You Will Make decisions and resolve issues regarding operational execution for data governance, data quality or metadata Recommend strategies to prioritize and remediate data quality issues that align with business needs or regulatory compliance initiatives Identify and recommend opportunities for the development of audits and controls structured around business processes and data quality target state and metadata standards Manage and develop team of individual contributor roles with low to moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives Manage operational execution of activities related to all stages of the remediation lifecycle Direct team in developing solutions, tools and processes used to maintain a common companywide data quality, control standards and data sourcing Collaborate with and consult with peers, colleagues, and multiple level managers to ensure consistent approach and direction on companywide remediation efforts Serve as single point of contact for escalations on low to moderate complexity issues Manage allocation of people and financial resources Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Desired Qualifications: Master's degree in finance, statistics, engineering Experience into Data Management, Business Analysis, Analytics, Project Management Experience, or equivalent demonstrated through one or a combination of the following: Work experience, training, military experience, education Experience in SQL, MS Access, Ab Initio Express IT, Informatica, Metadata Hub, Collibra, Power BI and Alteryx Experience in Data related platforms/tools and Data Management, FDLZ, MOSART preferred Experience with Metadata/Data dictionaries management including technical/business content and data lineage Experience with Data Quality principals or monitoring Experience in Data mapping and data profiling Solid experience with MS Excel Job Expectations: The role requires a developed understanding of enterprise finance applications, complex data management and understanding the system architecture, viz. FDLZ, MOSART, Hyperion, OLAP Should have expert level knowledge on Enterprise Metadata Hub, Collibra, Power BI and Alteryx Hands on experience on Data mapping, Lineage, Data Dictionaries and Data management concepts. Manage and supervise day-to-day operations of a team. Recommend operational improvements. Plan, direct, supervise and evaluate workflow, assignments and distribution Lead stakeholder development by maintaining ongoing interaction that increases their awareness, understanding, accountability, and engagement in the reporting process. Lead implementation of complex projects and initiatives impacting one or more lines of Business Ensure compliance and risk management requirements for supported area are met and works with other stakeholders to implement key risk initiatives. Redefine and make technical/strategic changes to enhance existing Business Intelligence systems. Collaborate and influence all levels of professionals including more experienced team members Lead team to achieve objectives and monitor performance of individuals according to established standards, and conduct performance evaluations. Train and coach individuals. Manage allocation of people and financial resources for Data Management Mentor and guide talent development of direct reports and assist in hiring talent. Posting End Date: 20 Aug 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-479814

About this role: Wells Fargo is seeking a Data Management Manager In this role, you will: Make decisions and resolve issues regarding operational execution for data governance, data quality or metadata Recommend strategies to prioritize and remediate data quality issues that align with business needs or regulatory compliance initiatives Identify and recommend opportunities for the development of audits and controls structured around business processes and data quality target state and metadata standards Manage and develop team of individual contributor roles with low to moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives Manage operational execution of activities related to all stages of the remediation lifecycle Direct team in developing solutions, tools and processes used to maintain a common companywide data quality, control standards and data sourcing Collaborate with and consult with peers, colleagues, and multiple level managers to ensure consistent approach and direction on companywide remediation efforts Serve as single point of contact for escalations on low to moderate complexity issues Manage allocation of people and financial resources Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Desired Qualifications: Master's degree in finance, statistics, engineering Experience into Data Management, Business Analysis, Analytics, Project Management Experience, or equivalent demonstrated through one or a combination of the following: Work experience, training, military experience, education Experience in SQL, MS Access, Ab Initio Express IT, Informatica, Metadata Hub, Collibra, Power BI and Alteryx Experience in Data related platforms/tools and Data Management, FDLZ, MOSART preferred Experience with Metadata/Data dictionaries management including technical/business content and data lineage Experience with Data Quality principals or monitoring Experience in Data mapping and data profiling Solid experience with MS Excel Job Expectations: The role requires a developed understanding of enterprise finance applications, complex data management and understanding the system architecture, viz. FDLZ, MOSART, Hyperion, OLAP Should have expert level knowledge on Enterprise Metadata Hub, Collibra, Power BI and Alteryx Hands on experience on Data mapping, Lineage, Data Dictionaries and Data management concepts. Manage and supervise day-to-day operations of a team. Recommend operational improvements. Plan, direct, supervise and evaluate workflow, assignments and distribution Lead stakeholder development by maintaining ongoing interaction that increases their awareness, understanding, accountability, and engagement in the reporting process. Lead implementation of complex projects and initiatives impacting one or more lines of Business Ensure compliance and risk management requirements for supported area are met and works with other stakeholders to implement key risk initiatives. Redefine and make technical/strategic changes to enhance existing Business Intelligence systems. Collaborate and influence all levels of professionals including more experienced team members Lead team to achieve objectives and monitor performance of individuals according to established standards, and conduct performance evaluations. Train and coach individuals. Manage allocation of people and financial resources for Data Management Mentor and guide talent development of direct reports and assist in hiring talent. Posting End Date: 20 Aug 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

We are seeking an experienced and motivated Senior Data Modeler to join our team. This role will be instrumental in defining, maintaining, and evolving our organization's data architecture and modeling practices, ensuring alignment with our overall data strategy and business needs. The ideal candidate will collaborate closely with cross-functional teams, mentor others in data strategy principles, and play a key role in the development of enterprise data models and metadata management. Responsibilities Assist in the establishment and maintenance of information architecture best practices, standards, and guidelines aligned with the organization's data strategy Drive data modeling initiatives and contribute to the design and development of the overall data architecture Develop and maintain conceptual, logical, and physical data models while ensuring they align with industry standards and best practices Capture and maintain metadata within the enterprise data catalog solution to ensure accurate documentation Evaluate and review proposed data models contained in purchased or commercially available applications Guide and educate stakeholders on data strategy directives, principles, and standards to foster a strong data culture Ensure compliance with security and regulatory policies within the scope of enterprise information architecture Collaborate with business partners, IT teams, and contractors to design effective data models that meet evolving requirements Participate in and drive adherence to best practices through design reviews at different stages of the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer Science, Life Sciences, or a related field 5+ years of experience working as a Business Analyst with demonstrated expertise in business process reengineering, user requirement gathering, workshop facilitation, and change management Expertise in data modeling, including the creation of ERWin diagrams Practical experience with data analytics and SQL Proficiency in data warehousing and business intelligence practices (DWBI) Strong communication skills, including proficiency in verbal and written English Nice to have 2+ years of experience in the pharmaceutical industry, particularly within commercial IT functions Skills in agile methodologies and team coordination Familiarity with Collibra

As a Senior Associate in the Data, Analytics & Specialist Managed Service Tower at PwC, with 6 to 10 years of experience, you will be part of a team of problem solvers addressing complex business issues from strategy to execution. Your responsibilities at this management level include utilizing feedback and reflection for personal development, being flexible in stretch opportunities, and demonstrating critical thinking skills to solve unstructured problems. You will also be involved in ticket quality reviews, project status reporting, and ensuring adherence to SLAs and incident, change, and problem management processes. Seeking diverse opportunities, communicating effectively, upholding ethical standards, demonstrating leadership capabilities, and collaborating in a team environment are essential aspects of this role. You will also be expected to contribute to cross competency work, COE activities, and manage escalations and risks. As a Senior Azure Cloud Engineer, you are required to have a minimum of 6 years of hands-on experience in building advanced Data warehousing solutions on leading cloud platforms, along with 3-5 years of Operate/Managed Services/Production Support Experience. Your responsibilities will include designing scalable and secure data structures, developing data pipelines for downstream consumption, and implementing ETL processes using tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, and Python. Experience with data analytics tools, data governance solutions, ITIL processes, and strong communication and problem-solving skills are essential for this role. Knowledge of Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Blob Storage, Azure Databricks, Azure Synapse Analytics, and Apache Spark is also required. Additionally, experience in data validation, cleansing, security, and privacy measures, as well as SQL querying, data governance, and performance tuning are essential. Nice to have qualifications for this role include Azure certification. Managed Services- Data, Analytics & Insights Managed Service at PwC focuses on providing integrated services and solutions to clients, enabling them to optimize operations and accelerate outcomes through technology and human-enabled experiences. The team emphasizes a consultative approach to operations, leveraging industry insights and talent to drive transformational journeys and sustained client outcomes. As a member of the Data, Analytics & Insights Managed Service team, you will be involved in critical offerings, help desk support, enhancement, optimization work, and strategic advisory engagements. Your role will require a mix of technical expertise and relationship management skills to support customer engagements effectively.,

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs How You Will Contribute You will: Operationalize and automate activities for efficiency and timely production of data visuals Assist in providing accessibility, retrievability, security and protection of data in an ethical manner Search for ways to get new data sources and assess their accuracy Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation Validate information from multiple sources. Assess issues that might prevent the organization from making maximum use of its information assets What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data Ability to simplify complex problems and communicate to a broad audience Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It with Pride In This Role As a DaaS Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices. Technical Requirements: Programming: Python Database: SQL, PL/SQL, Postgres SQL, Bigquery, Stored Procedure / Routines. ETL & Integration: AecorSoft, Talend, DBT, Databricks (Optional), Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: PowerBI (Optional), Tableau (Optional), Looker. GCP Cloud Services: Big Query, GCS. Supply Chain: IMS + Shipment functional knowledge good to have. Supporting Technologies: Erwin, Collibra, Data Governance, Airflow. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyze data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes · Good Knowledge of industry standards & regulations on Data Management like BCBS239, GDPR, CCPA etc · Experience in managing data lineage tools & visualizations to track data movement and transformations across systems · Strong skills in data quality management and hands on experience on data quality tools and techniques · Knowledge on other Data Management aspects like Master data Management, Data Privacy and Security · Strong understanding & hands on experience on Data Governance tool - Collibra. Experience with designing & implementing operating model in DGC, scanning different sources with Collibra Catalog connectors · Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams · Experience in project management methodologies & tools, including Agile · Experience of working as part of a global team with senior Stakeholders in Steering Committee, DG & DQ Forums & Working Groups - to understand & resolve data issues · Excellent analytical and problem -solving skills, with the ability to address complex data governance challenges Mandatory skill sets: Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes Preferred skill sets: Financial Services industry experience with a solid understanding of Capital Markets/ Banking/ Finance domain Years of experience required: 3-7 Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Informatics Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

AWS Data Engineer Location: Remote (India) Experience: 3+ Years Employment Type: Full-Time About the Role: We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and managing data pipelines using AWS services. This role involves working with large-scale data, integrating multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions. Experience in the energy industry or working with time-series/sensor data is a strong plus. Key Responsibilities: • Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena • Process and integrate structured and unstructured data, including sensor/IoT and real-time streams • Optimize pipeline performance and ensure reliability and fault tolerance • Collaborate with cross-functional teams including data scientists and analysts • Perform data transformations using Python, Pandas, and SQL • Maintain data integrity, quality, and security across the platform • Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation • Support and monitor pipeline workflows, troubleshoot issues, and implement fixes • Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI solutions Required Skills and Qualifications: • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field • 3+ years of experience in data engineering using AWS • Strong skills in: o AWS Glue, Redshift, S3, Lambda, EMR, Athena o Python, Pandas, SQL o RDS, Postgres, SAP HANA • Solid understanding of data modeling, warehousing, and pipeline orchestration • Experience with version control (Git) and infrastructure as code (Terraform) Preferred Skills: • Experience working with energy sector data or IoT/sensor-based data • Exposure to machine learning tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn) • Familiarity with big data technologies like Apache Spark, Kafka • Experience with data visualization tools (Tableau, Power BI, AWS QuickSight) • Awareness of data governance and catalog tools such as AWS Data Quality, Collibra, and AWS Databrew • AWS Certifications (Data Analytics, Solutions Architect)

About The Role We are seeking a highly skilled and detail-oriented QA Data Analyst with strong experience in testing data pipelines, SQL models, and DBT (Data Build Tool). The ideal candidate will play a critical role in ensuring data accuracy, quality, and integrity across our ETL/ELT processes and data governance Responsibilities : Design, develop, and maintain comprehensive test plans, test cases, and test scripts for data models and pipelines built using DBT. Conduct thorough data validation across SQL models and end-to-end data workflows to ensure data quality and consistency. Collaborate closely with data engineers and analysts to understand requirements and translate them into test scenarios. Document and manage detailed test cases, user scenarios, and test artifacts. Ensure compliance with data governance policies by validating metadata using tools like Collibra. Identify, log, and track defects, ensuring resolution and continuous improvement in data processes. Perform root cause analysis and participate in regression testing of data Skills & Experience : 5+ years of experience in software/data quality assurance with a focus on data platforms and testing cycles. Hands-on expertise with DBT (Data Build Tool) and validation of SQL-based data models. Strong SQL proficiency for querying, validating, and testing data transformations. Solid understanding of ETL/ELT processes and data warehousing concepts. Experience with Collibra or similar metadata management and data governance tools. Familiarity with version control systems (e.g., Git) and CI/CD pipelines is a plus. Excellent analytical and problem-solving skills, with keen attention to detail. Strong communication and documentation abilities to collaborate across cross-functional to Have : Experience working in Agile/Scrum environments. Exposure to cloud data platforms such as Snowflake, BigQuery, or Redshift. Knowledge of Python for data testing automation. (ref:hirist.tech)