2509 Data Quality Jobs - Page 26

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.

About the Role: Grade Level (for internal use): 10 The Team: Join the Global Data Management team within the Index Management & Production Group (IMPG) at S&P Dow Jones Indices. This team plays a key role in the ongoing maintenance and accurate calculation of our global indices, ensuring the integrity of data used by financial professionals worldwide. The Impact: As an Index Reference Data Analyst , you will be responsible for researching and maintaining critical company and market reference data, including company and stock setups, managing identifier and listing changes, validating prices, and overseeing holiday schedules. Your work will directly contribute to the quality and accuracy of S&P Dow Jones Indices, which are followed by market participants globally. Whats in it for you: Opportunity to work in a global role supporting data operations that power world-renowned indices. Be part of a high-impact team responsible for ensuring data quality across global markets. Enhance your knowledge of equity markets, corporate actions, and financial data management. Gain exposure to cutting-edge tools and data workflows used across the index industry. Responsibilities: Research and Analysis on Market Driven Events: Maintain and update reference data for stocks, companies, and exchanges following internal procedures and industry best practices. Manage and resolve data exceptions, ensuring alignment with S&P Dow Jones Indices policies and methodologies. Work on data quality initiatives and contribute to improving existing workflows and systems. Investigate and respond to internal and external data-related inquiries within agreed SLAs. Collaborate with team leaders and management to address escalations and complex data issues. Price Validation and Quality Control: Validate system-captured prices by reviewing them against multiple sources and resolving discrepancies under tight timelines. Ensure data accuracy and consistency for index calculations. Customer Focus and Communication Responsibilities: Maintain proactive communication with team members and leaders on issues or anomalies. Collaborate with global teams to ensure seamless task handover and resolution. Understand and consider client impact when making data changes. Provide accurate, clear responses to client queries in coordination with the client experience team. What Were Looking For: Qualifications & Experience: Bachelors degree in finance, computer science, economics, or MBA. 5-8 years of relevant experience; possess an open mind, flexibility, and the ability to adapt to changing priorities. Fluency in English (both written and spoken) is required Strong understanding of financial markets. Ability to work independently and within a global team environment. Excellent analytical and problem-solving skills. Desired Skills: Familiarity with corporate filings, shareholding structures, and their implications for indices. Proficiency in Microsoft Excel and other Office tools. Experience with SQL, Python, Power BI, or other data analysis and automation tools is a plus. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. Were the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices 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 www.spglobal.com/spdji . 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 -----------------------------------------------------------

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)

Role Summary Join Quantiums India leadership team in shaping the future of data-drive business operations. The Data Systems Lead (India) is pivotal in executing Quantium's internal data and systems transformation strategy, working as part of a globally distributed team to ensure our corporate data ecosystem supports business growth and operational excellence. This role will lead and develop the India-based analytics operations team, working closely with the Australia-based leadership team to deliver high-quality data integration, system maintenance, and analytical solutions across Quantium's internal systems ecosystem. The successful candidate will combine strong technical analytics engineering capabilities with stakeholder management skills, enabling them to work autonomously with business stakeholders when requirements need clarification whilst maintaining close collaboration with the Australian leadership team. This role is critical to Quantium's India growth strategy, building local capability whilst maintaining global standards and connectivity. The position is designed to support both professional excellence and personal fulfilment, with flexible working arrangements and a commitment to inclusive leadership development. Key Responsibilities Team Leadership & Talent Development Guide and develop a team of 3-5 analysts focused on internal data systems and operations Recruit and nuture local India talent, including analysts similar to current team members Foster a culture of continuous improvement and operational excellence within the India operations team Partner closely with Australian squad leaders on resource planning and capability development Data Systems & Analytics Engineering Execute and enhance data integration strategies across Quantium's internal systems ecosystem (Kantata, HubSpot, Anaplan, HRMS, Finance systems) Orchestrate ETL processes, data quality monitoring, and system maintenance operations Ensure data consistency and integrity across the corporate data warehouse Drive automation of manual processes and implement operational efficiencies Stakeholder Engagement Collaborate with Australian leadership team to understand and translate business requirements Engage directly with internal business stakeholders across verticals when requirements need clarification Participate actively in regular forums with Finance, People & Culture, and vertical teams to gather feedback and requirements Support change management initiatives related to systems transformation Operational Excellence Coordinate day-to-day operations of internal data systems and reporting processes Monitor and resolve data quality issues, implementing systematic approaches to problem-solving Support month-end financial processes, management reporting, and compliance requirements Maintain adherence to Quantium's data governance and security standards Key activities Strategic Execution Execute business plans for foundational internal data assets including corporate data management, system integrations, and operational reporting Support the development of the internal data and systems roadmap based on business requirements Coordinate with global teams on system enhancements and new implementations Team Management Recruit and develop local analytics talent with strong ETL and data integration capabilities Create development plans and objectives aligned with operational excellence and business support objectives Provide coaching and mentorship to develop team members' technical and stakeholder management capabilities Build inclusive teams that leverage diverse perspectives and experiences Manage resource allocation across multiple internal projects and business-as-usual operations Technical Delivery Oversee technical designs for data integration solutions and system enhancements Ensure quality standards are maintained across all data processes and deliverables Champion best practices for analytics engineering and data operations Support troubleshooting and resolution of complex data and system issues Qualifications Essential Requirements Analytics Engineering Foundation : Strong experience in ETL development, data integration, and analytics engineering practices Enterprise Systems Knowledge : Previous experience working with ERP systems, enterprise applications, or corporate data ecosystems Team Leadership and Development : Proven experience managing and developing analytics teams (3+ people) Data Integration Expertise : Strong understanding of data structures, data transformation, and system integration patterns Stakeholder Partnership : Demonstrated ability to work with business stakeholders and translate requirements into technical solutions Cross-cultural Communication : Comfort working across time zones and cultural contexts Highly Desirable Experience with enterprise applications such as Kantata (or similar PSA tools), HubSpot, Anaplan, or HRMS systems Background in finance or HR data management and reporting Experience in professional services or consulting environments Previous experience working in globally distributed teams Understanding of data governance and compliance requirements Experience mentoring and developing junior team members Skills Required Data Engineering : Proficiency in SQL, data transformation tools, and ETL processes Analytics Tools : Experience with data analysis and reporting tools System Integration : Understanding of API integrations and data warehouse concepts Problem Solving : Strong systematic approach to troubleshooting data and system issues Data Quality : Experience implementing data quality monitoring and improvement processes

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.

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 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

Work Timing: Standard IST 6 months Contract Exp in batch/real-time integrations with ODI 11g, customizing knowledge modules & design/development expertise Skilled in ETL processes, PL/SQL & building Interfaces, Packages, Load Plans & Sequences in ODI Required Candidate profile Exp in ODI Master & Work Repository, data modeling & ETL design, multi-system integration, error handling, automation & object migration in ODI Performance tuning, unit testing & debugging mappings Perks and benefits MNC

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.

The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team s research is focused on climate-related metrics including carbon emissions, energy performance, climate change targets and commitments and other relevant sector specific data, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Your Key Responsibilities Procuring and processing information about globally listed companies such as Using multiple sources: lengthy annual reports, CSR reports, websites, quantitative data feeds, web crawlers Types of information: quantitative data, key performance indicators Topics or subject matters: traditional financial risk, corporate governance and sustainability Types of analysis: rules-based, subjective analysis, written summaries Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. You are expected to address queries from internal and external users pertaining to Climate data, reconciling data challenges, training users on methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores Drive coverage and content expansion projects defined by the business. Update and refine industry assessment guides for data collectors and internal analysts Design and implement process improvements and QA checks to ensure consistent data quality and efficiency Contribute to working committees, projects, or perform other tasks as deemed necessary by the business. Your skills and experience that will help you excel Bachelors/ Master s degree in finance, statistics, sustainability, environmental science, oil and gas engineering, Power management Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (eg TCFD, ISSB) and frameworks (eg IPCC, UNFCCC, etc). Minimum of 3-4 years working experience in Energy (Oil Gas) or Power or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable (Power BI/ Tableau/ Python/SQL) Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. Anticipate problems and opportunities, and adapt to new challenges. Ability to work with multiple stakeholders in a collaborative global team environment. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall we'llbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride Allies, Women in Tech, and Women s Leadership Forum.

This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives at the organizational level. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Represent the company at conferences and external engagements. Influence the direction of the companys AI/ML strategy and contribute to long-term planning. Minimum Qualifications: Minimum of 18 years of relevant work experience and a Bachelors degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Recognized as an industry expert with a strong publication record. Subsidiary: PayPal Travel Percent: 20

This job will drive the strategic vision and development of cutting-edge BNPL credit models and collection models across all products . The incumbent will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Your way to impact - Manage multiple priorities through solid project management practices. Maintain strong presence in our India sites and help keep PayPal a great place to work. Your day to day - Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Lead the development of new methodologies and frameworks for ML applications. What do you need to bring- Minimum of 15 years of relevant work experience and a Bachelors degree or equivalent experience. Minimum of 3 years management experience Deep experience in AI/ML model development, with a proven track record in financial services Experience in setting up nurturing large AI / ML teams Advanced degree in Computer Science, Engineering, Statistics, or a related field. Exceptional communication skills, with the ability to articulate complex technical concepts to nontechnical stakeholders and executives. Strong connections with the AI/ML ecosystem in India is a plus

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Requirements Total Experience 58 years with 4+ years of relevant experience Skills Proficiency on Databricks platform Strong handson experience with Pyspark , SQL, and Python Any cloud Azure, AWS, GCP Certifications (Any of the following) Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Mandatory Skill Sets Databricks, Pyspark, SQL,Python, Any cloud Azure, AWS, GCP Preferred Skill Sets Related CeCeritfication Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Required Skills Databricks Platform Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio.. Data Modeling and Analysis:. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.. Analyze and model data to ensure optimal ETL design and performance.. Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions.. Implement best practices for reusable Ab Initio component Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization.. Conduct performance tuning and troubleshooting as needed.. Collaboration. Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.. Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio. Data Modelling and Analysis. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes. Analyse and model data to ensure optimal ETL design and performance. Ab Initio Components. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration. . Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes. Participate in design reviews and provide technical expertise to enhance overall solution quality Documentation

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

Data Migration Specialists play a crucial role in ensuring the successful transfer of data between systems. Their technical expertise in data extraction, transformation, and validation, coupled with strong communication and problem-solving skills, make them invaluable assets in data migration projects. Responsibilities Proficiency in data extraction and transformation tools Strong SQL querying and scripting skills Knowledge of ETL (Extract, Transform, Load) processes Familiarity with data modeling and database design principles Experience with data migration tools and software Understanding of data mapping and data transformation techniques Proficiency in data cleansing and data validation techniques Knowledge in PHP and Script writing Expertise in data profiling and data quality assessment Understanding of data security and privacy regulations Experience with data migration in large-scale enterprise environments Understanding of data synchronization and replication techniques Skills Required PHP, SQL

Job_Description":" OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forwardin its evolution by becoming part of Otto Group one.O, the new central,high-performance partner for strategy consulting and technology for the OttoGroup. This strengthens our mission to deliver innovative IT solutions forcommerce and logistics, combining experience, technology, and a global visionto lead the digital future. OSP Indianame transition OSP India will adopt the name Otto Group one.O in the future, followingour headquarters rebranding. We want to assure you that this brand name changewill not affect your role, job security, or our company culture. Thistransition aligns us with our global teams in Germany, Spain, and Taiwan andenhances our collaboration moving forward Job Overview:We are seeking a skilled and experienced Senior Python Developer with strong expertise in Google Cloud Platform (GCP), data analytics, and infrastructure automation using Terraform. The candidate will play a key role in building scalable data solutions, implementing secure cloud services, and driving actionable insights through analytics. Requirements Design, develop, and maintain scalable Python applications for data processing and analytics. Utilize GCP services including IAM, BigQuery, Cloud Storage, Pub/Sub, and others. Build and maintain robust data pipelines and ETL workflows. Collaborate with analytics teams to transform data into valuable business insights. Develop and manage infrastructure using Terraform (IaC). Ensure data quality, integrity, and governance across all systems. Participate in architectural decisions, code reviews, and agile ceremonies. Required Skills and Experience: 5 to 10 years of hands-on experience with Python development. Proficient in the Pandas library for data manipulation and analysis. Strong working knowledge of GCP (especially IAM, BigQuery, Cloud Functions, Cloud Storage). Experience in designing and deploying data analytics and ETL pipelines. Proficiency with Terraform and Infrastructure as Code practices. Strong analytical skills and ability to derive insights from large datasets. Understanding of best practices around data quality, security, and compliance. Preferred Qualifications: Experience with MongoDB is an advantage. GCP Certification (e.g., Professional Data Engineer or Cloud Architect). Familiarity with Docker and Kubernetes. Exposure to CI/CD tools and DevOps practices. Strong collaboration and communication skills. Benefits Flexible Working Hours: Support for work-lifebalance through adaptable scheduling. Comprehensive Medical Insurance: Coverage foremployees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-officecollaboration and remote work opportunities, with four days a week in theoffice.

The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team s research is focused on climate-related metrics including carbon emissions, energy performance, climate change targets and commitments and other relevant sector specific data, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Your Key Responsibilities Procuring and processing information about globally listed companies such as Using multiple sources: lengthy annual reports, CSR reports, websites, quantitative data feeds, web crawlers Types of information: quantitative data, key performance indicators Topics or subject matters: traditional financial risk, corporate governance and sustainability Types of analysis: rules-based, subjective analysis, written summaries Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. You are expected to address queries from internal and external users pertaining to Climate data, reconciling data challenges, training users on methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores Drive coverage and content expansion projects defined by the business. Update and refine industry assessment guides for data collectors and internal analysts Design and implement process improvements and QA checks to ensure consistent data quality and efficiency Contribute to working committees, projects, or perform other tasks as deemed necessary by the business. Your skills and experience that will help you excel Bachelors/ Master s degree in finance, statistics, sustainability, environmental science, oil and gas engineering, Power management Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (e.g. TCFD, ISSB) and frameworks (e.g. IPCC, UNFCCC, etc.). Minimum of 3-4 years working experience in Energy (Oil Gas) or Power or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable (Power BI/ Tableau/ Python/SQL) Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. Anticipate problems and opportunities, and adapt to new challenges. Ability to work with multiple stakeholders in a collaborative global team environment. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride Allies, Women in Tech, and Women s Leadership Forum. . . To all recruitment agencies . Note on recruitment scams

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. ","responsibilities":" Team: Core Engineering Reliability Team Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times. Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements. Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists. Serve as the data domain expert, mastering the details of our incident management infrastructure. Take full ownership of problems from ambiguous requirements through rapid iterations. Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues. Cultivate strong relationships between teams that produce data and those that build insights. ","qualifications":" Minimum Qualifications / Your background: BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices. Proficiency in Python, SQL, and data platforms like DataBricks Proficiency in relational databases and query authoring (SQL). Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements. Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools. Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. Well versed in modern software development practices (Agile, TDD, CICD) Desirable Qualifications Demonstrated ability to design and operate data infrastructure that deliver high reliability for our customers. Familiarity working with datasets like Monitoring, Observability, Performance, etc.. Benefits Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

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

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.

Summary Leads the Data and System Governance organization for GCS. Drives all aspects related to the governance of all Systems in use to support business activities within GCS and TRD (for SAP only). Leads and coordinates all system improvement initiatives in partnership with Dev IT and ensures visibility of performances trough KPI monitoring. Maintains a high performing support model to Business through active alignment with stakeholders for issues resolution. Responsible for developing and executing the data governance strategy for Clinical supply chain including creation of a governance framework, improvement of data stewardship processes, management of dedicated resources and planning optimization. Leads data and digital transformation initiatives to make GCS a data-driven organizations fueled by Data Science and AI. Act as a point of contact for all GCS D&D initiatives in India HUB. Accountable for the development and execution of data governance strategy, data quality management standards and processes, to enhance master data capabilities across all MDM domains within TRD. Drives functional excellence. Fosters a culture of empowerment, trust, learning, diversity & inclusion and high performance and has the disciplinary and legal responsibility for the people assigned to own team. About the Role Major accountabilities: Leads a Team in GCS Systems & Operational Excellence as Operational Manager in a direct leadership role. Owns, drives, governs Systems and associated landscape within TRD/GCS. Implements and maintains the integrated business support model through the resources assigned. Closely partners with multiple levels of the TRD organization and with external partners (e.g. Dev. IT, Helpdesk and others) to align on cross-functional projects and business priorities. Conduct analysis of business needs and subsequently plans and implements the required projects and improvements. Ensure proper transition to Line Functions of the key initiatives implemented; maintains a rolling 24-month strategic plan of system related projects in coordination with Dev IT. Critically evaluates portfolio of improvements to ensure sustainability overtime, identifying priorities and opportunities to simplify ways of working. Oversees and manages all 3rd party activities involved in system governance and helpdesk, ensuring full adherence to budget and timelines to support operations of a fully integrated Clinical Supply Chain Management. Ensures full development of assigned resources including (but not limited to) creation of career path and strong technical competency training; maintains and coordinates a support-to-the-business model to address day-by-day need as well as mid/long term improvements. Develops and maintains a set of KPIs for ongoing activities; ensures adherence to them and drives/implements any required improvements; drives a culture of continuous improvement. Oversees and proposes SAP improvement implementation at TRD level in conjunction with functional excellence activities related to systems. Ensures high level processes and maps are developed and maintained. Acts as a role model for Novartis values and behaviors. Lead Front line managers, team of Data Stewards, Information Governance managers and MDM Process & Operations Manager within GCS Systems & Operational Excellence as Operational Manager in a direct leadership role. Provide leadership for establishing knowledge-based organization by implementation of data science framework. Establish data governance and quality framework for enabling intelligent recommendation for supply chain user community based on data science solution and data-lake platform. Establish systems, processes, and roles to define business use case for analytics, create a prioritization process for the use case selection for data science solution enablement. Actively lead the reference data management adoption in GCS in alignment with the Enterprise Data Owner In close cooperation with the Unit Head, drive the unit long-term strategic plan and its implementation. Ensure current and future needs are fully met, unit projects are assigned, adequately resourced, delivered on time and in full compliance. Establish data governance for new projects and liaise with Data Council to provide strategic direction for the data and digital projects in GCS in alignment with Enterprise (GDD & TRD) Data organizations. Implement and maintain a robust data quality program to mitigate/prevent data quality issues, diagnose, remediate, and monitor master data by enhancing existing foundations and processes and drive change to improve the quality of master data. Implement suite of standardized governance tools including for use by all key stakeholders Create, manage, and facilitate implementation of data governance policies to enable data science-based organization, identify and understand critical data issues in terms of business impact/risk/opportunity and ensure data policy enforcement and compliance. Actively lead the creation and maintenance of Data Governance roadmap for GCS, identification/implementation of business use cases across the different functions with the purpose of creating value for the business from data insights Ensure integration of data quality methodologies when developing and/or designing new master data attributes to satisfy new business requirements. Drive the planning, coordination, and execution of all people management processes in the unit, including performance management, training, and development planning. Partner with HR Business Partner and Competency Building Unit to identify and devise unit training opportunities, addressing both strategic and behavioral needs, while taking into consideration suitable metrics to quantify training success. Drive a culture of excellence in knowledge sharing. Provide strong input into OTR process and Talent Management. Minimum Requirements: Advanced degree in science, engineering, or relevant discipline (Ph.D., MBA or equivalent) 10 years of practical experience in chemical/ pharmaceutical industry or > 6 years of experience in field of expertise Recognized expertise in related field. Thorough knowledge about the Drug Development and Clinical Supply processes Comprehensive knowledge about project management, excellent organization and planning skills Strong knowledge of relevant regulations (e.g., GMP, HSE etc.) and Novartis specific standards. Demonstrates cross-functional problem-solving and idea generation skills Strong communication skills. Strong presentation skills. Advanced coaching skills Proven leadership skills Excellent communication, negotiation, and interpersonal skills. Ability to work in interdisciplinary and cross-cultural teams Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Step into role of a Senior Data Engineer. At Barclays, innovation isn t encouraged, its expected. As a Senior Data Engineer you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional relevant skills given below are highly valued: Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures. . If managing a team, they define jobs and responsibilities, planning for the department s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. . If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. . OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. . Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Associate Manager, Clinical Data Management Responsibilities will include, but are not limited to: Study Startup: Draft EDC build timeline in collaboration with Data Management Lead. Perform DB build tasks by creating specifications for Database and Edit Checks. Create test scripts and complete test data entry/UAT for Coding, Site Payment, Safety Gateway. Collaborate with Data Management Lead and facilitate startup meetings which includes, not limited to, EDC build kick-off, Interactive eCRF Build and IRMs (Interactive Review Meeting) for database and Edit checks. Create and finalize study documents like Data Quality Management Plan, eCRF completion Instructions, Protocol Data Review Plan (PDRP) post study team review. Ensure all startup documents are completed as per SOP and filled in eTMF as per eTMF master plan. Study Conduct: Plan/execute Post Production/Migration for the study (if any). Coordinate with Clinical Data Managers for the execution of data review tasks. Coordidate with external data vendors for any escalations related to any vendor data. Support Clean Patient Group delivery along with Clinical Data Management staff. Update study documents as needed during the conduct of the study Support DML to coduct Data Quality Review meetings. Provide Data Health Metrics to Data Management Lead as requested. Study Closeout- Support Data Management Lead in planning and execution of database lock activities. Perform post lock activities, as needed. Project Management Support DML in project management tasks to make sure that study is delivered successfully as per the study timelines with quality. Documentation: Filing of appropriate documents in eTMF as per eTMF master plan. Training and Mentorship: Provide Training and mentoring to junior CDM staff. Bachelor s Degree required. Life sciences, Pharmacy or relevant fields preferred. 6 years of experience in managing end to end Clinical Data Management tasks. Able to work on end to end Clinical Data Management tasks Able to work collaboratively on multi-disciplinary project teams. Strong knowledge of Clinical Drug Development Process, FDA/ICH guidelines and industry standard practices regarding data management Strong knowledge and experience of EDC systems (Medidata RAVE preferred); demonstrated knowledge of Microsoft Office skills. Strong oral and written communication skills. Strong project management skills