1380 Data Governance Jobs - Page 15

Novo Nordisk Global Business Services ( GBS) India Department - Global Data & Artificial lntelligence Are you passionate about building scalable data pipelines and optimising data workflowsDo you want to work at the forefront of data engineering, collaborating with cross-functional teams to drive innovationIf so, we are looking for a talented Data Engineer to join our Global Data & AI team at Novo Nordisk. Read on and apply today for a life-changing career! The Position As a Senior Data Engineer, you will play a key role in designing, developing, and main-taining data pipelines and integration solutions to support analytics, Artificial Intelligence workflows, and business intelligence. It includes: Design, implement, and maintain scalable data pipelines and integration solutions aligned with the overall data architecture and strategy. Implement data transformation workflows using modern ETL/ELT approaches while establishing best practices for data engineering, including testing methodologies and documentation. Optimize data workflows by harmonizing and securely transferring data across systems, while collaborating with stakeholders to deliver high-performance solutions for analytics and Artificial Intelligence. Monitoring and maintaining data systems to ensure their reliability. Support data governance by ensuring data quality and consistency, while contributing to architectural decisions shaping the data platform's future. Mentoring junior engineers and fostering a culture of engineering excellence. Qualifications Bachelor’s or master’s degree in computer science, Software Development, Engineering. Possess over 10 years of overall professional experience, including more than 4 years of specialized expertise in data engineering. Experience in developing production-grade data pipelines using Python, Data-bricks and Azure cloud, with a strong foundation in software engineering principles. Experience in the clinical data domain, with knowledge of standards such as CDISC SDTM and ADaM (Good to have). Experience working in a regulated industry (Good to have). About the department You will be part of the Global Data & AI team. Our department is globally distributed and has for mission to harness the power of Data and Artificial Intelligence, integrating it seamlessly into the fabric of Novo Nordisk's operations. We serve as the vital link, weaving together the realms of Data and Artificial Intelligence throughout the whole organi-zation, empowering Novo Nordisk to realize its strategic ambitions through our pivotal initiatives. The atmosphere is fast-paced and dynamic, with a strong focus on collaboration and innovation. We work closely with various business domains to create actionable insights and drive commercial excellence.

The Data Analyst will support the organization's data management and governance initiatives by analyzing data, resolving issues, and ensuring compliance with policies and standards. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving. About the Role : In this opportunity, As a Data Analys you will Assist in adherence to Data Management Policies and Procedures, contributing insights and updates for process improvements. Analyze and monitor in-scope data questions, issues, and requests, ensuring timely and accurate resolutions. Conduct preliminary Data Risk and Control Assessments to identify potential issues and suggest remediation steps. Support efforts to align data handling practices with applicable laws, regulations, and internal guidelines. Collaborate with stakeholders from Business, Customer Segments, and Data & Analytics teams to ensure data consistency and alignment. Provide support in team collaborations to create value through efficient data management processes. Track and report on Key Performance Indicators (KPI) and Key Risk Indicators (KRI) to help measure and improve data governance effectiveness. Escalate unresolved issues or roadblocks to appropriate team members for further action. About you: You will be fit for the role, if your background includes Bachelor's degree in Data Analytics, Information Systems, or a related field. 4-6 years of experience in data analysis, data governance, or related fields. Basic knowledge of data governance frameworks, risk management, and compliance standards. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Knowledge/experience in Alteryx preferred Expert level Excel user #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. About The Role We are looking for a highly motivated individual with strong organizational and technical skills for the position of Lead Data Engineer/ Data Engineering Manager (Snowflake). You will play a critical role working on cutting edge of Data Engineering and analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.Effectively communicate across various levels, including Executives, and functions within the global organization.Demonstrate strong leadership skills with ability to drive projects/tasks to delivering valueEngage with stakeholders, business analysts and project team to understand the data requirements.Design analytical frameworks to provide insights into a business problem.Explore and visualize multiple data sets to understand data available and prepare data for problem solving.Design database models (if a data mart or operational data store is required to aggregate data for modeling). About You You're a fit for the Lead Data Engineer/ Data Engineering Manager (Snowflake), if your background includes:QualificationsB-Tech/M-Tech/MCA or equivalentExperience7-9 years of corporate experienceLocationBangalore, IndiaHands-on experience in developing data models for large scale data warehouse/data Lake Snowflake, BWMap the data journey from operational system sources through any transformations in transit to itsdelivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)Enabling on the overall master and reference data strategy, including the procedures to ensure the consistency and quality of Finance reference data.Experience across ETL, SQL and other emerging data technologies with experience in integrations of a cloud-based analytics environmentBuild and refine end-to-end data workflows to offer actionable insightsFair understanding of Data Strategy, Data Governance ProcessKnowledge in BI analytics and visualization toolsPower BI, Tableau #LI-NR1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role: Grade Level (for internal use): 10 The Team: S&P Global Commodity Insights provides essential intelligence for global commodity markets. Our team ensures data accuracy, consistency, and accessibility while driving innovation through technologies and data governance practices. Joining this team provides you the opportunity to play a key role in advancing the future of commodity data and analytics in an innovative and evolving landscape. Responsibilities and Impact: This position requires a proactive approach to data quality, security, and usability, supporting the organization in leveraging data as a strategic asset. As a Data Governance Analyst, you will ensure the data is accurate, secure, and compliant with regulations. By implementing governance frameworks, youll safeguard business data, improve data quality, and mitigate privacy risks. Your work will foster a culture of data accountability, collaborating with teams and leadership to align governance practices with business goals, enabling informed decision-making and supporting compliance. Implement and Manage Data Governance Frameworks Lead the development and implementation of data governance policies, standards, and procedures to ensure data quality, privacy, and security across the organization. Data Quality Assurance Develop and manage processes to assess and improve data quality, ensuring that all business-critical data is accurate, consistent, and accessible for decision-making. Resolve Data Issues Identify, Analyse, and resolve data-related issues, providing solutions for discrepancies and promoting best practices in data handling. Collaborate with Cross-functional Teams Work closely with IT, data science, and business teams to drive data governance initiatives and foster a culture of data stewardship and accountability. Ensure Compliance and Risk Mitigation Monitor and enforce compliance with regulations, such as GDPR and CCPA, mitigating risks related to data privacy and regulatory compliance. Drive Data Quality Improvement Develop and manage processes to assess and improve data quality, ensuring that all business-critical data is accurate, consistent, and accessible for decision-making. Exposure to Senior Leadership and Global Stakeholders Regularly interact with senior decision-makers, policy experts, and market leaders, gaining valuable experience and visibility in a high-stakes, global environment. Growth and Professional Development Gain expertise in data management tools and methodologies, with opportunities for continuous learning, career progression, and involvement in strategic data governance initiatives on a global scale. What Were Looking For: Basic Required Qualifications: Bachelor's degree 3-5 years of experience in data governance, data quality, data preparation, and data classification. Proficiency in data management and governance principles and current industry trends. Strong understanding of data management tools, data governance frameworks (e.g., DAMA), databases, and data privacy regulations. Experience with data quality management, data classification and metadata management. Proven ability to manage multiple business stakeholders, actively engaging with and aligning enterprise senior leadership to drive data governance initiatives. Strong collaborative mindset with a structured approach to problem-solving. Innovative thinker, capable of working effectively across teams and geographies. Additional Preferred Qualifications: Knowledge of applications such as Salesforce, Marketo, Cvent, commercial platforms and One trust. Proficient in MS Excel, MS PowerPoint, and visualising tools such as Power BI/ Tableau. Ability to work in an agile environment with focus on LEAN approach. Excellent written and verbal communication skills Certifications:- Data Governance and Stewardship Professional Certified Data Governance Practitioner Salesforce Administrator or associate certification Gen AI Shift Timings: 8:30AM EST-5:30 PM EST (Flexibility required) About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit http://www.spglobal.com/commodity-insights . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP103.1 - Middle Management Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

So, what s the role all about As a Program Manager, you will be responsible for overseeing multiple projects and initiatives that support the organizations strategic goals. You will work closely with cross-functional teams to ensure successful project execution, on-time delivery, and adherence to quality standards. How will you make an impact Define project scope, goals, and deliverables that support business goals in collaboration with senior management and stakeholders. Develop and maintain a detailed project plan to track progress and ensure timely delivery of project milestones. Monitor project progress and performance, identify and mitigate risks and issues, and communicate status updates to stakeholders and senior management Collaborate with cross-functional teams to identify and resolve project-related issues and roadblocks. End to end Agile project management responsibility- in terms of scope, quality, resources and risk management as well as timeline and organizational release readiness Develop and maintain strong relationships with key stakeholders to ensure project success and alignment with business objectives Ensure adherence to project management methodologies, standards, and best practices, and continuously improve project management processes and tools Lead project meetings and presentations, and facilitate communication and collaboration among team members and stakeholders Have you got what it takes 10-14 years of experience in IT industry with 5+ years of experience in hard core Software Development Project & Program management Strong understanding of project management methodologies, tools, and techniques Proven track record of successfully managing multiple projects and initiatives simultaneously. Excellent communication, negotiation, and interpersonal skills Ability to work collaboratively with cross-functional teams and manage multiple stakeholders. Strong attention to detail and ability to manage competing priorities. Working knowledge of various methodologies like, Agile-Scrum Practices Ability to drive project decisions through strong Data governance, Metrics. Strong problem-solving and decision-making skills Hands-on knowledge & experience on- Software Development & Quality - Processes & standards Release Management Pre & Post-Production Product Launches Hands on exp on Atlassian Tools (JIRA/Confluence), Basic Knowledge of: Cloud- AWS, DevOps practices PMP certification preferred. What s in it for you Enjoy NICE-FLEX! Reporting into: Tech Manager, Program Management Role Type: Individual Contributor About NiCE

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer. In this role, you will: Able to Evaluate and provide technical solutions to solve a variety of complex and interdependent processes. Ensure data quality and accuracy by implementing data quality checks, data contracts and data governance processes. Collaborate with front-end and back-end developers to integrate user-facing elements with server-side logic Requirements To be successful in this role, you should meet the following requirements Design, develop, and maintain RESTful APIs. Knowledge of Fast API, AWS API gateway and GCP gateway Experience with cloud platforms such as AWS and Google Cloud. Ensure the performance, quality, and responsiveness of APIs. Implement security and data protection measures. Troubleshoot and debug applications. Create and maintain technical documentation for APIs. Understanding of CI/CD pipelines and DevOps practices. Experience with cloud platforms such as AWS and Google Cloud. Experience with containerization technologies like Docker and Kubernetes Understanding of CI/CD pipelines and DevOps practices. Participate in agile development processes, including sprint planning, stand-ups, and retrospectives.

S&C Global Network - Strategy - MC - Industry X - Digital Engineering R&D - Consultant Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills: Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team.As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Qualification Experience:Minimum 5 years of experience is required Educational Qualification:Engineering & MBA Preferred

Job Title: Microsoft Purview Specialist (Junior Level) Type: Contract (36 Months Project) Location: Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Experience: 1--3 Years Preferred Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):

Azure Cloud Data Lead Job Title: Azure Cloud Data Lead Location: Pune, India Experience: 7 - 12 Years Work Mode: Full-time, Office-based Company Overview : Smartavya Analytica is a niche Data and AI company based in Mumbai, established in 2017. We specialize in data-driven innovation, transforming enterprise data into strategic insights. With expertise spanning over 25+ Data Modernization projects and handling large datasets up to 24 PB in a single implementation, we have successfully delivered data and AI projects across multiple industries, including retail, finance, telecom, manufacturing, insurance, and capital markets. We are specialists in Cloud, Hadoop, Big Data, AI, and Analytics, with a strong focus on Data Modernization for On-premises, Private, and Public Cloud Platforms. Visit us at: https://smart-analytica.com Job Summary: We are looking for a highly experienced Azure Cloud Data Lead to oversee the architecture, design, and delivery of enterprise-scale cloud data solutions. This role demands deep expertise in Azure Data Services , strong hands-on experience with data engineering and governance , and a strategic mindset to guide cloud modernization initiatives across complex environments. Key Responsibilities: Architect and design data lakehouses , data warehouses , and analytics platforms using Azure Data Services . Lead implementations using Azure Data Factory (ADF) , Azure Synapse Analytics , and Azure Fabric (OneLake ecosystem). Define and implement data governance frameworks including cataloguing, lineage, security, and quality controls. Collaborate with business stakeholders, data engineers, and developers to translate business requirements into scalable Azure architectures. Ensure platform design meets performance, scalability, security, and regulatory compliance needs. Guide migration of on-premises data platforms to Azure Cloud environments. Create architectural artifacts: solution blueprints, reference architectures, governance models, and best practice guidelines. Collaborate with Sales / presales to customer meetings to understand the business requirement, the scope of work and propose relevant solutions. Drive the MVP/PoC and capability demos to prospective customers / opportunities Must-Have Skills: 7 - 12 years of experience in data architecture, data engineering, or analytics solutions. Hands-on expertise in Azure Cloud services: ADF , Synapse , Azure Fabric (OneLake) , and Databricks (good to have). Strong understanding of data governance , metadata management, and compliance frameworks (e.g., GDPR, HIPAA). Deep knowledge of relational and non-relational databases (SQL, NoSQL) on Azure. Experience with security practices (IAM, RBAC, encryption, data masking) in cloud environments. Strong client-facing skills with the ability to present complex solutions clearly. Preferred Certifications: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate

Role & responsibilities Strong change and project management skills Stakeholder Management, Communications, Reporting Data management, data governance, and data quality management domain knowledge Subject Matter Expertise required in more than one of the following areas- Data Management, Data Governance, Data Quality Measurement and Reporting, Data Quality Issues Management. Liaise with IWPB markets and stakeholders to coordinate delivery of organizational DQ Governance objectives, and provide consultative support to facilitate progress Conduct analysis of IWPB DQ portfolio to identify thematic trends and insights, to effectively advise stakeholders in managing their respective domains Proficiency in MI reporting and visualization is strongly preferred Proficiency in Change and Project Management is strongly preferred. Ability to prepare programme update materials and present for senior stakeholders, with prompt response any issues / escalations Strong communications and Stakeholder Management skills: Should be able to work effectively and maintain strong working relationships as an integral part of a larger team 8+ yrs of relevant experience preferred. Preferred candidate profile

Role & responsibilities • Minimum 15 years of experience • Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies. • Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases. • Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server) • Good understanding of Relational, Dimensional, Data Vault Modelling • Experience in implementing 2 or more data models in a database with data security and access controls. • Good experience in OLTP and OLAP systems • Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources. • Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse) • Experience on one or more cloud platforms (e.g. AWS, Azure, GCP) • Understanding of DevOps processes • Hands-on experience in one or more Data Modelling Tools • Good understanding of one or more ETL tool and data ingestion frameworks • Understanding of Data Quality and Data Governance • Good understanding of NoSQL Database and modeling techniques • Good understanding of one or more Business Domains • Understanding of Big Data ecosystem • Understanding of Industry Data Models • Hands-on experience in Python • Experience in leading the large and complex teams • Good understanding of agile methodology • Extensive expertise in leading data transformation initiatives, driving cultural change, and promoting a data driven mindset across the organization. • Excellent Communication skills • Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models. • Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models data warehouse etc. • Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling. • Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects. • Suggest best modelling approach to the client based on their requirement and target architecture. • Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details. • Profile the Data sets to generate relevant insights. • Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns. • Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance. • Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform. • Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc. • Guide /mentor team members, and review artifacts. • Contribute to the overall data strategy and roadmaps. • Propose and execute technical assessments, proofs of concept to promote innovation in the data space.

Role & responsibilities Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models. Work as a principal advisor on data architecture, across various data requirements, aggregation data lake data models – data warehouse etc. Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling. Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects. Suggest best modelling approach to the client based on their requirement and target architecture. Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details. Profile the Data sets to generate relevant insights. Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns. Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance. Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform. Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc. Guide /mentor team members, and review artifacts. Contribute to the overall data strategy and roadmaps. Propose and execute technical assessments, proofs of concept to promote innovation in the data space. Preferred candidate profile Minimum 16 years of experience Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies. Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases. Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server) • Good understanding of Relational, Dimensional, Data Vault Modelling Experience in implementing 2 or more data models in a database with data security and access controls. Good experience in OLTP and OLAP systems Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources. Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse) Experience on one or more cloud platforms (e.g. AWS, Azure, GCP) Understanding of DevOps processes Hands-on experience in one or more Data Modelling Tools Good understanding of one or more ETL tool and data ingestion frameworks Understanding of Data Quality and Data Governance Good understanding of NoSQL Database and modeling techniques Good understanding of one or more Business Domains Understanding of Big Data ecosystem Understanding of Industry Data Models Hands-on experience in Python Experience in leading the large and complex teams Good understanding of agile methodology You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Perks and benefits

Role & responsibilities Preferred candidate profile Required qualifications to be successful in this role Minimum of 4+years of experience in managing, configuring, and supporting Collibra or similar data governance tools. Strong on any data governance tool - Informatica MDM/IDC, Axon , Collibra etc and Support Experience in data governance, data management, and metadata management. Strong understanding of data governance frameworks, data quality principles, and metadata management. Certifications (Preferred but not required): o Collibra Certified Professional or similar certifications. o ITIL Foundation or other relevant IT service management certifications.

We are seeking a skilled and strategic Data and Analytics Executive to lead our data initiatives and build a high-performing data team. The ideal candidate will possess extensive experience in developing data teams, data architecture, analytics, and a strong ability to align data priorities with business goals. This role is essential in driving data-driven decision-making across the organization and ensuring that our data landscape serves our business objectives effectively. Key Responsibilities: 1. Team Building and Mentorship: Recruit, develop, and mentor a talented team of data professionals, including engineers, business analysts, data product managers, and visualization experts. Foster a culture of continuous learning and improvement within the team. Establish clear performance metrics and career development pathways for team members. 2. Goal Prioritization Based on Business Value: Collaborate with business teams to define and prioritize data and analytics initiatives that align with overall business strategy. Assess the potential business impact of various data projects to inform prioritization and resource allocation. Communicate project goals and progress to stakeholders to ensure alignment and transparency. 3. Design and Architecture of Data Landscape: Own the design and execution of the organization s data architecture, ensuring scalability, security, and accessibility. Evaluate and implement modern data technologies and frameworks that support business objectives. Collaborate with the Data Governance team and implement practices to maintain data quality, privacy, and compliance. 4. Development of Certified Data Products: Lead the development and deployment of data products that are reliable, scalable, and meet the needs of end users. Collaborate with product teams to identify opportunities for new data product development and enhancement. Establish testing and certification processes to validate data products effectiveness and reliability. 5. Ensuring Data Infrastructure Meets Business Requirements: Assess the organizations data infrastructure and identify opportunities for improvement to meet evolving business needs. Ensure that data pipelines, storage solutions, and analytics tools effectively support data integration and analysis. Monitor and improve the performance of data systems to ensure timely and accurate reporting. Required Qualifications: Bachelor s degree in computer science, Statistics, or a related field. Masters degree preferred. 15+ years of IT experience with a proven track record in building data teams with at least 5 years in a leadership role. Ability to build and lead high-performing teams in a dynamic and fast-paced environment. Strong understanding of data architecture, data governance, and analytics technologies. Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels.

Design and implement data extraction solutions from S4HANA. Create and enhance DataSources in S4 for master data and transaction data. Monitor and troubleshoot data loads, ensure data accuracy and timeliness. Design and build InfoObjects, DataStore Objects (DSOs), Multiproviders, and InfoCubes (as applicable). Ensure performance optimization and scalability in data models. Develop and enhance BEx Queries, Analysis for Office reports . Support business users in defining key KPIs, metrics, and drill-down capabilities. Provide training and documentation for end-users and key stakeholders. Analyze business requirements and translate them into technical specifications for reports . Collaborate with functional teams (FICO) to understand source data and business logic. Participate in requirement gathering, design workshops, and UAT sessions. Provide support for regression testing, go-live, and hypercare activities. Follow change management and transport procedures. Ensure compliance with data governance, security, and quality standards. Systems : S4HANA , SAC P , BW on HANA (7.4 Sp20) Reporting tools : Query designer ,Bex Analyzer , Analysis for Office Mandatory skills SAP BW (Data extraction/Data Modelling/Reporting) Desired/ Secondary skills Good to have S4HANA with CDS view built Max Vendor Rate in Per Day (Currency in relevance to work location) 12000 INR/day Delivery Anchor for tracking the sourcing statistics, technical evaluation, interviews and feedback etc

Design, development and testing of chatbot solutions leveraging AWS Lex, Python, AWS Lambda, and AWS DynamoDB. Experience in building conversation flow. Collaborate with technical analyst / solution architects to assist with solution design. Take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our Business stakeholders. Follow and promote best engineering practices like clean reusable code, Continuous Integration (CI), Test-Driven Development (TDD), Infrastructure as Code etc Provide technical software support, including investigation and qualification of bugs, interpreting procedure manuals, and maintaining accurate documentation Key Responsibilities Design, develop, and deploy solutions on Salesforce Data Cloud platform. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Build custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies. Develop and optimize data models to support business processes and reporting needs. Implement data governance and security best practices to ensure data integrity and compliance. Perform troubleshooting, debugging, and performance tuning of Salesforce Data Cloud solutions. Stay current with Salesforce Data Cloud updates, best practices, and industry trends. Provide technical guidance and support to other team members and end-users. Document solution designs, configurations, and customizations.

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

Job Description Job Purpose ICE Data Services, a subsidiary of ICE, has an exciting opportunity within our third-party Market Data Governance team. The Market Data Governance team is responsible for the governance, oversight and administration of third-party market data usage rights within the organization. Responsibilities Summarize and document market data usage policies and distribution rights Assist with processing source mandated changes to usage policies and pricing by updating documentation, maintaining internal entitlement systems and preparing materials to communicate changes both internally and externally to clients Administer system for ICE product entitlement systems, including setting up new services, products and other features Review and resolve inquiries related to usage policies, pricing and billing issues, as well as entitlement system administration Provide support to the external audit defense team by researching audit related inquiries, providing entitlement system audit reports, and tracking remediation items Assist with various compliance related projects Knowledge and Experience Experience in market data industry, including compliance and contract management/ negotiation background a plus Familiarity with real time, end-of-day and derived data use cases Ability to analyze complex policy data (contracts and agreements, fee schedules, new rule announcements) to identify adjustments to current systems and processes Highly effective written and verbal communication skills Strong analytical and problem-solving skills Proficiency in the standard Microsoft Office suite (Excel, Word, Access); knowledge of Microsoft Visio a plus Proficiency with SQL Ability to learn new software applications and systems Adept at creating and maintaining effective relationships through strong interpersonal skills

About the Role: Seeking a highly skilled Senior Data Engineer with 8 years of experience to join our dynamic team. Requirements: Experienced in architecting, building and maintaining end-to-end data pipelines using Python and Spark in Databricks Proficient in designing and implementing scalable data lake and data warehouse solutions on Azure including Azure Data Lake, Data Factory, Synapse and Azure SQL Hands on experience in leading the integration of complex data sources and the development of efficient ETL processes Champion best practices in data governance, data quality and data security across the organization Adept in collaborating closely with data scientists, analysts and business stakeholders to deliver high-impact data solutions. #LI-MS2 #LI-Onsite

Job Title: MDG developers Location: Chennai, Bangalore, Hyderabad, Noida, Gurugram, Jaipur Experience: 7-17 Years Work Mode: Contract Duration: 6Months (Hybrid) Shift Timings: 2-11 PM Job Summary: We are seeking a talented and detail-oriented MDG Developer to join our growing SAP team. The ideal candidate will have hands-on experience with SAP Master Data Governance (MDG) , particularly in developing and enhancing MDG frameworks for master data objects such as Customer, Vendor, Material, and Finance . This role involves working closely with functional consultants, data governance teams, and business stakeholders to build and maintain high-quality master data solutions. Required Skills: Strong hands-on experience in SAP MDG development Proficiency in ABAP , including OO ABAP , BADI , and enhancement frameworks Experience with UI modeling using FPM and Web Dynpro ABAP Familiarity with BRF+ , Rule-based workflows , and Change Requests Good understanding of data replication (DRF) and integration with SAP ECC/S/4HANA and external systems Experience in MDG Consolidation and Mass Processing (preferred) Strong problem-solving skills and ability to work independently

Power BI Data Specialist Job Details | atlascorp Search by Keyword Search by Location Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Power BI Data Specialist The Atlas Corp. and Seaspan teams are goal-driven and share a high-performance culture, focusing on building services offerings to become a leading asset manager. Seaspan provides many of the worlds major shipping lines with alternatives to vessel ownership by offering long-term leases on large, modern containerships and pure car, truck carriers (PCTCs) combined with industry leading ship management serves. Seaspans fleet has evolved over time to meet the varying needs of our customer base. We own vessels in a wide range of sizes, from 2,500 TEU to 24,000 TEU vessels. As a wholly owned subsidiary of Atlas Corp, Seaspan delivers on the companys core strategy as a leading asset management and core infrastructure company. Position Description: We are seeking a skilled and detail-oriented Power BI Data Specialist to join our Data Operations team. The ideal candidate will have strong SQL skills, a solid understanding of data warehousing concepts, and hands-on experience with Power BI development and administration. This role involves ensuring data quality and integrity, supporting business units with analytical needs, and enhancing the organizations data infrastructure through the addition of new dimensions, columns, and other data model updates. Experience with Databricks and big data technologies and Power Apps/Automate is considered a strong asset. Job Responsibilities: Data Analysis and Quality Assurance: Perform regular data audits and quality checks to ensure the accuracy and consistency of enterprise data. Investigate and resolve data issues in collaboration with business units. Proactively identify data anomalies and opportunities for improvement. Data Warehouse Support: Understand the structure and flow of data within the enterprise data warehouse. Add and maintain data warehouse dimensions, attributes, and measures as required. Collaborate with data engineers to optimize data structures and queries. Reporting and Visualization: Design, develop, and publish interactive Power BI dashboards and reports to meet business requirements. Maintain and administer Power BI workspaces, datasets, and security. Support report lifecycle management, ensuring reports are relevant, accurate, and up to date. Collaboration and Stakeholder Engagement: Work closely with business units to gather requirements and deliver analytical insights. Act as a liaison between business and technical teams to ensure data needs are met. Technical Tool Expertise: Write efficient SQL queries to extract, transform, and analyze data from various sources. Utilize Power BI for data visualization, modeling, and reporting. Job Responsibilities: Bachelor s degree in Computer Science, Information Systems, or a related field. 3+ years of experience in a Data Analyst or BI Analyst role. Hands-on experience with both Power BI development and administration. Strong proficiency in SQL for querying and manipulating data. Solid understanding of data warehousing concepts and practices. Familiarity with data quality frameworks and best practices. Excellent analytical thinking and problem-solving skills. Strong communication skills and ability to work collaboratively with non-technical stakeholders. Requirements: Experience with Databricks or similar big data platforms. Exposure to ETL tools and data integration processes. Understanding of data governance and security principles. Knowledge of Power Apps and Power Automate. Power BI or Microsoft Data certifications. Job Demands and/or Physical Requirements: As Seaspan is a global company, occasional work outside of regular office hours may be required. Atlas Corp. and Seaspan Corporation are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you. A Week at Sea with Seaspan - YouTube 1.13K subscribers Tap to unmute If playback doesnt begin shortly, try restarting your device. More videos on YouTube An error occurred while retrieving sharing information. Please try again later. A WEEK AT SEA WITH SEASPAN This video was taken on board our 4250 TEU vessel, Seaspan Santos, during a six-day passage in September 2013. JOIN THE BEST AT SEA When you join the Seaspan family, you become a part of a company with one of the newest and most advanced fleets in the industry. Our modern vessels are maintained to the highest standards and offer excellent living conditions for our seafarers.

JD for Power Bi. Key Responsibilities: Power BI Development: Design and develop interactive dashboards, reports, and visualizations using Power BI, ensuring that they are user-friendly and meet business requirements. Data Modeling: Create efficient data models by integrating data from multiple sources, ensuring consistency, accuracy, and integrity. Implement relationships, calculated columns, and measures using DAX (Data Analysis Expressions). Data Integration: Work with various data sources (SQL Server, Excel, SharePoint, APIs, etc.) to extract, transform, and load (ETL) data into Power BI datasets for analysis. Report Optimization: Optimize Power BI reports and dashboards for performance and scalability. Implement best practices for report design and visualization. Collaboration with Stakeholders: Work closely with business stakeholders to understand their reporting needs and translate them into effective BI solutions. Provide technical support and advice to end-users. Data Analysis & Insight Generation: Analyze complex data sets and provide actionable insights to support business decision-making. Identify trends, patterns, and opportunities for improvement. Data Governance & Security: Ensure data governance standards are adhered to, including setting up proper security roles, user access, and data privacy measures in Power BI workspaces. Troubleshooting & Support: Address any issues with Power BI reports and dashboards. Provide technical support to users and troubleshoot any data or visualization errors. Documentation & Training: Document Power BI reports, dashboards, and data models for future reference. Provide training sessions to business users to help them effectively use the Power BI reports and visualizations. Continuous Improvement: Stay up-to-date with the latest Power BI features and best practices, incorporating them into your work to improve report functionality and user experience.

Overall Work Experience - 8 years+ Skillset - Must Have: Strong DG and Data Management Concepts, Collibra or IDMC and Excellent Communication Work with Customers onshore team collaboratively to support following initiatives: Interface with business stakeholders, understand their data and analytics needs, establish requirement with technical stakeholders and align on delivery plan. Understand various data sources around asset classes, portfolio, historical performances, market trends etc. and Develop/enhance data documentation. Help deliver data-driven analysis and recommendations that effectively influence business decisions. Extract data, perform data cleansing / data quality checking tasks, prepare data quality reports, and model ready data. Synthesize different sources of data into a single source while conducting data quality checks, applying relevant filters etc. Develop Power BI dashboards to define procedures/metrics for reporting data quality. Candidate Profile: Over 5 years of experience in data analytics, governance, and business analysis Strong understanding of data analytics and ability to derive actionable insights Skilled in developing strategic project roadmaps and aligning data initiatives with business goals Proactive in proposing suggestions and providing regular project updates to stakeholders Capable of writing SQL and Python code to troubleshoot and resolve data quality issues Hands-on experience with data governance frameworks; Collibra knowledge helpful but not mandatory. Strong comprehension of metadata strategies and real-world use cases Excellent communication skills and ability to work across business and technical teams Familiar with technology stack: SQL, Snowflake, Power BI Experience with IceDQ (a plus) Understanding of investment fundamentals is a valuable asset Detail-oriented, self-motivated, and adept at cross-functional collaboration

Key Skills & Responsibilities Strong hands-on experience with Snowflake database design, coding, and documentation. Expertise in performance tuning for both Oracle and Snowflake. Experience as an Apps DBA, capable of coordinating with application teams. Proficiency in using OEM, Tuning Advisor, and analyzing AWR reports. Strong SQL skills with the ability to guide application teams on improvements. Efficient management of compute and storage in Snowflake architecture. Execute administrative tasks, handle multiple Snowflake accounts, and apply best practices. Implement data governance via column-level security, dynamic masking, and RBAC. Utilize Time Travel, Cloning, replication, and recovery methods. Manage DML/DDL operations, concurrency models, and security policies. Enable secure data sharing internally and externally. Locations : Multiple location (Bangalore , Hyderabad , Chennai , kolkata , Mumbai , Pune , Gurugram) Interview Mode: Virtual (2 Rounds) Skills: documentation,apps dba,replication,dml/ddl operations,performance tunning,compute management,rbac,security policies,coding,recovery methods,dynamic masking,cloning,oem,storage management,performance tuning,secure data sharing,time travel,tuning advisor,snowflake database design,snowflake,column-level security,data governance,concurrency models,column-level security, dynamic masking, and rbac,oracle,awr reports analysis,sql