882 Data Services Jobs - Page 7

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

Req ID: 327063 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a python,pySpark,ApacheSpark to join our team in Hyderabad, Telangana (IN-TG), India (IN). "At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring, the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here "NTT DATA Services currently seeks Python Developer to join our team in Hyderabad Design and build ETL solutions with experience in data engineering, data modelling in large-scale in both batch and real-time environments. Skills required: Python, PySpark, Apache Spark, Unix Shell Scripting, GCP, Big query, MongoDB, Kafka event streaming, API development, CI/CD. For software engineering 3: 6+yrs Mandate :Apache spark with python, pyspark, GCP with big query, database Secondary mandate: Abinitio ETL Good to have : Unix shell scripting Kafka event streaming" #LI-INPAS We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in RD to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Hiring for TCS_Selenium,Functional Testing_Chennai Essential Skills: Collaborate with Business Partners and application SMEs to align project objectives and manage expectations during development, manage JIRA Backlog, and identify and mitigate riskPartner with Enterprise Data Services organization on Enterprise Data Strategy Desirable Skills: QA Testing 50% selenium, karate, CI/CD experience and 50% SQL Server Query, Optimize experience.Must have good communication skills as they will work closely with business partners.Deep understanding of agile methodologies such as Scrum and KanbanExperience developing testing automationStrong understanding of software testing lifecycle Country: India Branch | City | Location: TCS - Chennai CHENNAI SHOLINGANALLUR

ECMS Req # 533704 Relevant and Total years of experience Relevant 4-5 yrs of exp and Total 6 + years Detailed job description - Skill Set: Strong Data Engineer with 5+ Years exp in Data Bricks , Pyspark , SQL Design and develop data processing pipelines and analytics solutions using Databricks. Architect scalable and efficient data models and storage solutions on the Databricks platform. Collaborate with architects and other teams to migrate current solution to use Databricks. Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. Use best practices for data governance, security, and compliance on the Databricks platform. Mentor junior engineers and provide technical guidance. Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. Good to have experience with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps practices for automated deployment and monitoring of data pipelines. Mandatory Skills Strong Data Engineer with 5+ Years exp in Data Bricks , Pyspark , SQL Design and develop data processing pipelines and analytics solutions using Databricks. Architect scalable and efficient data models and storage solutions on the Databricks platform. Collaborate with architects and other teams to migrate current solution to use Databricks. Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. Use best practices for data governance, security, and compliance on the Databricks platform. Mentor junior engineers and provide technical guidance. Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. Vendor Billing range in local currency (per day) INR 9000/Day Work Location Bangalore, Hyderabad (Preferred) Notice period 15 days WFO/WFH/Hybrid WFO Hybrid BGCHECK before or After onboarding Post onboarding Skill Matrix: Skills Exp Required Databricks 4-5 Yrs Py spark 4-5 Yrs Spark 4-5 Yrs SQL 4-5 Yrs AWS 2+ Yrs

Req ID: 323796 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Advisor to join our team in Hyderabad, Telangana (IN-TG), India (IN). "NTT DATA Services currently seeks .Net Developer to join our team in Hyderabad Skills: Excellent Microsoft .NET core along with experience working on PCF/TKGI/OCP, KAFKA, Mongo DB, SQL Server"

About Our Company/Team At Oracle Finergy, we are committed to delivering innovative solutions to the Banking, Financial Services, and Insurance (BFSI) sector. Our team of experts leverages proven methodologies and cutting-edge technologies to address the complex financial needs of our clients. We pride ourselves on being a leading provider of end-to-end banking solutions, enhancing operational efficiency, and ensuring technology aligns with our clients business goals. Our mission is to empower financial institutions to succeed in a rapidly changing world. Job Summary As a Microsoft Fabric Data Engineer/Developer, you will play a vital role in designing, developing, and implementing robust and scalable data solutions within the Microsoft Fabric ecosystem. You will collaborate closely with data architects, business stakeholders, and cross-functional teams to transform raw data into actionable insights, driving informed decision-making across the organization. If you are passionate about data engineering, possess a strong technical background, and excel in collaborative environments, we invite you to join our growing data team. Career Level - IC2 Microsoft Fabric Development : Design, develop, and deploy end-to-end data solutions using various components of Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, and Data Engineering. Implement and optimize data pipelines for ingestion, transformation, and curation of data from diverse sources (e.g., Azure Data Lake Storage Gen2, on-premises databases, APIs, third-party systems). Develop and optimize data models within Microsoft Fabric, ensuring adherence to best practices for performance, scalability, and data quality. Utilize Power BI for data visualization and reporting, ensuring seamless integration with Fabric data assets. Azure Data Services Integration : Demonstrate strong hands-on experience with core Microsoft Azure data services, including Azure Data Factory (for ETL/ELT orchestration), Azure Databricks (for advanced analytics and processing), and Azure Data Lake Storage Gen2. Integrate Microsoft Fabric solutions with existing Azure data services and other enterprise systems. Data Architecture Governance : Contribute to the design and implementation of robust, scalable, and secure data architectures within the Microsoft Fabric platform. Implement data quality, validation, and reconciliation processes to ensure data integrity and accuracy. Apply data governance best practices, including security, access controls (e.g., role-based access control), and compliance within Fabric and Azure Purview. Documentation Knowledge Sharing : Maintain comprehensive documentation for data architectures, pipelines, data models, and processes. Stay updated with the latest advancements in Microsoft Fabric, Azure data services, and data engineering best practices. Qualifications Skills Mandatory : Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. 4-7 years of professional experience as a Data Engineer, Data Developer, or in a similar role. Hands-on experience with Microsoft Fabric, including its core components (Lakehouse, Data Warehouse, Data Factory, Data Engineering). Strong expertise in Microsoft Azure data services: Azure Data Factory (ADF) Azure Data Lake Storage Gen2 Proven experience in designing, developing, and maintaining scalable data pipelines. Solid understanding of data warehousing concepts, dimensional modeling, and data lakehouse architectures. Proficiency in SQL for data manipulation and querying. Experience with version control systems (e.g., Git, Azure Repos). Strong analytical and problem-solving skills with meticulous attention to detail. Excellent communication skills (written and verbal) and the ability to collaborate effectively with cross-functional teams. Good-to-Have : Certification in Microsoft Azure or Microsoft Fabric. Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP). Knowledge of data governance frameworks and best practices. Additional Notes Ideal to have some background knowledge around Finance / Investment Banking / Fixed Income / OCIO Business Self-Assessment Questions To help you determine if this role is a good fit, please consider the following questions: 1)Can you describe your experience with Microsoft Fabric and its core components, highlighting specific projects or accomplishments 2)How do you ensure data quality, validation, and reconciliation in your data pipelines, and can you provide an example from a previous project 3)Can you explain your approach to data governance, including security, access controls, and compliance, and how youve applied this in a previous role 4)How do you stay up-to-date with the latest advancements in Microsoft Fabric, Azure data services, and data engineering best practices 5)Can you provide an example of a complex data problem youve solved in the past, highlighting your analytical and problem-solving skills

Required Skill Set Candidates with 8+ years of experience with exposure and experience in PIM solution definition and architecting Must have good understanding of MDM architectures and business processes specifically for solutioning PIM solutions leveraging Inriver Must have Minimum 2 end-to-end Implementation experience with Inriver PIM with architecting one such solution and should be familiar with tools architecture and components (data management, data model, digital asset management, workflows, data model and extensions,supplier portal, data quality, integration aspects) Must have hands-on experience with Informatica PIM tool that includes data modeling , designing and implementing components for imports, exports, data migration and associated data cleansing/transformations, data validations rules, catalog management, techniques for managing digital assets and unstructured content in PIM, etc. Should have designed & implemented automated workflows in the tool for data management processes Knowledge and experience in integrating PIM with Data Quality tool (IDQ) for implementing Product data related DQ processes Experience in integrating PIM with ETL (data integration) and EAI tools for batch & real time integrations Experience / understanding of data services suite of products (Data quality , Data integration etc.) will be an added advantage Understanding/experience on integrating PIM with external content management tools will be useful Candidate should have excellent communication skills with ability to interface with customers to drive PIM requirement workshops to elicit and document functional and non-functional requirements Roles & Responsibilities Leading customer discussions and workshops for requirement elicitation and converting business requirements into PIM functional requirements Architecting, designing and implementing Inriver solutions as per client requirements - configuring, extending and customizing various components of PIM platform Providing technical leadership and leading other implementation team members (integration, data quality, BPM) throughout the implementations Build best practices, reusable components and accelerators for PIM implementations Mentor junior team members on PIM solution design and implementations Support practice by leading PIM solution definitions for different customers Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Informatica MDM. Experience: 8-10 Years.

Manage and support the Delivery Operations Team by implementing and supporting ETL and automation procedures. Schedule and perform delivery operations functions to complete tasks and ensure client satisfaction. ESSENTIAL FUNCTIONS: Process data conversions on multiple platforms Perform address standardization, merge purge, database updates, client mailings, postal presort. Automate scripts to perform tasks to transfer and manipulate data feeds internal and external. Multitask ability to manage multiple Jobs to ensure timely client deliverability Work with technical staff to maintain and support an ETL environment. Work in a team environment with database/crm, modelers, analysts and application programmers to deliver results for clients. REQUIRED SKILLS: Experience in database marketing with the ability to transform and manipulate data. Experience with Oracle and SQL to automate scripts to process and manipulate marketing data. Experience with tools such as DMexpress, Talend, Snowflake, Sap DQM suite of tools, excel. Experience with Sql Server : Data exports and imports, ability to run Sql server Agent Jobs and SSIS packages. Experience with editors like Notepad++, Ultraedit, or any type of editor. Experience in SFTP and PGP to ensure data security and protection of client data. Experience working with large scale customer databases in a relational database environment. Proven ability to work on multiple tasks at a given time. Ability to communicate and work in a team environment to ensure tasks are completed in a timely manner MINIMUM QUALIFICATIONS: Bachelor's degree or equivalent 5+ years experience in Database Marketing. Excellent oral and written communication skills required.

Location: Bengaluru Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Enterprise technology has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth . Learn more about ET&P Your work profile As Consultant / Senior Consultant in our Oracle Team you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - We are seeking a Senior Data Engineer with extensive experience in cloud platforms and data engineering tools, with a strong emphasis on Databricks. The ideal candidate will have deep expertise in designing and optimizing data pipelines, building scalable ETL workflows, and leveraging Databricks for advanced analytics and data processing. Experience with Google Cloud Platform is beneficial, particularly in integrating Databricks with cloud storage solutions and data warehouses such as BigQuery. The candidate should have a proven track record of working on data enablement projects across various data domains and be well-versed in the Data as a Product approach, ensuring data solutions are scalable, reusable, and aligned with business needs. Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks, ensuring efficient data ingestion, transformation, and processing. Implement and manage data storage solutions, including Delta Tables for structured storage and seamless data versioning. 5+ years of experience with cloud data services, with a strong focus on Databricks and its integration with Google Cloud Platform storage and analytics tools such as BigQuery. Leverage Databricks for advanced data processing, including the development and optimization of data workflows, Delta Live Tables, and ML-based data transformations. Monitor and optimize Databricks performance, focusing on cluster configurations, resource utilization, and Delta Table performance tuning. Collaborate with cross-functional teams to drive data enablement projects, ensuring scalable, reusable, and efficient solutions using Databricks. Apply the Data as a Product / Data as an Asset approach, ensuring high data quality, accessibility, and usability within Databricks environments. 5+ years of experience with analytical software and languages, including Spark (Databricks Runtime), Python, and SQL for data engineering and analytics. Should have strong expertise in Data Structures and Algorithms (DSA) and problem-solving, enabling efficient design and optimization of data workflows. Experienced in CI/CD pipelines using GitHub for automated data pipeline deployments within Databricks. Experienced in Agile/Scrum environments, contributing to iterative development processes and collaboration within data engineering teams. Experience in Data Streaming is a plus, particularly leveraging Kafka or Spark Structured Streaming within Databricks. Familiarity with other ETL/ELT tools is a plus, such as Qlik Replicate, SAP Data Services, or Informatica, with a focus on integrating these with Databricks. Qualifications: A Bachelor s or Master s degree in Computer Science, Engineering, or a related discipline. Over 5 years of hands-on experience in data engineering or a closely related field. Proven expertise in AWS and Databricks platforms. Advanced skills in data modeling and designing optimized data structures. Knowledge of Azure DevOps and proficiency in Scrum methodologies. Exceptional problem-solving abilities paired with a keen eye for detail. Strong interpersonal and communication skills for seamless collaboration. A minimum of one certification in AWS or Databricks, such as Cloud Engineering, Data Services, Cloud Practitioner, Certified Data Engineer, or an equivalent from reputable MOOCs. Location and way of working Base location: Bengaluru This profile involves occasional travelling to client locations OR this profile does not involve extensive travel for work. Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as a Consultant / Senior Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Analyst across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyones valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

About the Role: Grade Level (for internal use): 08 S&P Global Mobility The Role: Data Engineer The Team We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact We areseekinga motivated and talented Data Engineer to be a key player in building a robust data infrastructure and flows that supports our advanced forecasting models. Your initial focus will be to create a robust data factory to ensure smooth collection and refresh of actual data, a critical component that feeds our forecast. Additionally, you will be assisting in developing mathematical models and supporting the work of ML engineers and data scientists. Your work will significantly impact our ability to deliver timely and insightful forecasts to our clients. Whats in it for you: Opportunity to build foundational data infrastructure that directly impacts advanced forecasting models and client delivery. Gain exposure to and support the development of sophisticated mathematical models, Machine Learning, and Data Science applications. Contribute significantly to delivering timely and insightful forecasts, influencing client decisions in the automotive sector. Work in a collaborative environment that fosters continuous learning, mentorship, and professional growth in data engineering and related analytical fields. Responsibilities Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines for efficient data ingestion, processing, and storage, primarily focusing on creating a data factory for our core forecasting data. Data Quality and Integrity: Implement robust data quality checks and validation processes to ensure the accuracy and consistency of data used in our forecasting models. Mathematical Model Support: Collaborate with other data engineers to develop and refine mathematical logics and models that underpin our forecasting methodologies. ML and Data Science Support Provide data support to our Machine Learning Engineers and Data Scientists. Collaboration and Communication: Work closely with analysts, developers, and other stakeholders to understand data requirements and deliver effective solutions. Innovation and Improvement: Continuously explore and evaluate new technologies and methodologies to enhance our data infrastructure and forecasting capabilities. What Were Looking For: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Minimum of 1 - 2 years of experience in data engineering, with a proven track record of building and maintaining data pipelines. Strong proficiency in SQL and experience with relational and non-relational databases. Strong Python programming skills, with experience in data manipulation and processing libraries (e.g., Pandas, NumPy). Experience with mathematical modelling and supporting ML and data science teams. Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience in the automotive sector is a plus. Statement: S&P Global delivers essential intelligence that powers decision making. We provide the worlds leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, youll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand todays market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . 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. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- 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 ---- 203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group)

Overview Data Technology group in MSCI is responsible to build and maintain state-of-the-art data management platform that delivers Reference. Market & other critical datapoints to various products of the firm. The platform, hosted on firms’ data centers and Azure & GCP public cloud, processes 100 TB+ data and is expected to run 24*7. With increased focus on automation around systems development and operations, Data Science based quality control and cloud migration, several tech stack modernization initiatives are currently in progress. To accomplish these initiatives, we are seeking a highly motivated and innovative individual to join the Data Engineering team for the purpose of supporting our next generation of developer tools and infrastructure. The team is the hub around which Engineering, and Operations team revolves for automation and is committed to provide self-serve tools to our internal customers. Responsibilities Implement & Maintain Data Catalogs Deploy and manage data catalog tool Collibra to improve data discoverability and governance. Metadata & Lineage Management Automate metadata collection, establish data lineage, and maintain consistent data definitions across systems. Enable Data Governance Collaborate with governance teams to apply data policies, classifications, and ownership structures in the catalog. Support Self-Service & Adoption Promote catalog usage across teams through training, documentation, and continuous support. Cross-Team Collaboration Work closely with data engineers, analysts, and stewards to align catalog content with business needs. Tooling & Automation Build scripts and workflows for metadata ingestion, tagging, and monitoring of catalog health. Leverage AI tools for automation of cataloging activities Reporting & Documentation Maintain documentation and generate usage metrics, ensuring transparency and operational efficiency. Qualifications Self-motivated, collaborative individual with passion for excellence E Computer Science or equivalent with 5+ years of total experience and at least 2 years of experience in working with Azure DevOps tools and technologies Good working knowledge of source control applications like git with prior experience of building deployment workflows using this tool Good working knowledge of Snowflake YAML, Python Tools: Experience with data catalog platforms (e.g., Collibra, Alation, DataHub). Metadata & Lineage: Understanding of metadata management and data lineage. Scripting: Proficient in SQL and Python for automation and integration. APIs & Integration: Ability to connect catalog tools with data sources using APIs. Cloud Knowledge: Familiar with cloud data services (Azure, GCP). Data Governance: Basic knowledge of data stewardship, classification, and compliance. Collaboration: Strong communication skills to work across data and business teams 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. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Role description Lead and mentor a team of data engineers to design, develop, and maintain high-performance data pipelines and platforms. Architect scalable ETL/ELT processes, streaming pipelines, and data lake/warehouse solutions (e.g., Redshift, Snowflake, BigQuery). Own the roadmap and technical vision for the data engineering function, ensuring best practices in data modeling, governance, quality, and security. Drive adoption of modern data stack tools (e.g., Airflow, Kafka, Spark etc.) and foster a culture of continuous improvement. Ensure the platform is reliable, scalable, and cost-effective across batch and real-time use cases. Champion data observability, lineage, and privacy initiatives to ensure trust in data across the org. Skills Bachelors or Masters degree in Computer Science, Engineering, or related technical field. 8+ years of hands-on experience in data engineering with at least 2+ years in a leadership or managerial role. Proven experience with distributed data processing frameworks such as Apache Spark, Flink, or Kafka. Strong SQL skills and experience in data modeling, data warehousing, and schema design. Proficiency with cloud platforms (AWS/GCP/Azure) and their native data services (e.g., AWS Glue, Redshift, EMR, BigQuery). Solid grasp of data architecture, system design, and performance optimization at scale. Experience working in an agile development environment and managing sprint-based delivery cycles.

As a Mid Databricks Engineer, you will play a pivotal role in designing, implementing, and optimizing data processing pipelines and analytics solutions on the Databricks platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable solutions, and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in Databricks, strong programming skills, and a passion for solving complex engineering challenges. What you'll do : - Design and develop data processing pipelines and analytics solutions using Databricks. - Architect scalable and efficient data models and storage solutions on the Databricks platform. - Collaborate with architects and other teams to migrate current solution to use Databricks. - Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. - Use best practices for data governance, security, and compliance on the Databricks platform. - Mentor junior engineers and provide technical guidance. - Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. You'll be expected to have : - Bachelor's or master's degree in computer science, Engineering, or a related field. - 5 to 8 years of overall experience and 2+ years of experience designing and implementing data solutions on the Databricks platform. - Proficiency in programming languages such as Python, Scala, or SQL. - Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. - Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. - Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. - Good to have experience with containerization technologies such as Docker and Kubernetes. - Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.

We are looking for a Strategic thinker, have ability grasp new technologies, innovate, develop, and nurture new solutions. a self-starter to work in a diverse and fast-paced environment to support, maintain and advance the capabilities of the unified data platform. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of cloud infrastructure technologies and platform engineering experience. Responsibilities Developing ETL/ELT pipelines using Synapse pipelines and data flows Integrating Synapse with other Azure data services (Data Lake Storage, Data Factory, etc.) Building and maintaining data warehousing solutions using Synapse Design and contribute to information infrastructure and data management processes Develop data ingestion systems that cleanse and normalize diverse datasets Build data pipelines from various internal and external sources Create structure for unstructured data Develop solutions using both relational and non-relational databases Create proof-of-concept implementations to validate solution proposals Sounds like you To apply you need to be: Experience & Education Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Worked with Cloud delivery team to provide technical solutions services roadmap for customer. Knowledge on creating IaaS and PaaS cloud solutions in Azure Platform that meet customer needs for scalability, reliability, and performance Technical Skills & Competencies Developing ETL/ELT pipelines using Synapse pipelines and data flows Integrating Synapse with other Azure data services (Data Lake Storage, Data Factory, etc.) Building and maintaining data warehousing solutions using Synapse Design and contribute to information infrastructure and data management processes Develop data ingestion systems that cleanse and normalize diverse datasets Build data pipelines from various internal and external sources Create structure for unstructured data

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP CPI for Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs. Your role will require you to facilitate communication between stakeholders and the development team, ensuring that all parties are informed and engaged throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application components. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CPI for Data Services.- Strong understanding of application design principles and best practices.- Experience with integration patterns and data transformation techniques.- Familiarity with cloud-based application development and deployment.- Ability to troubleshoot and resolve application issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in SAP CPI for Data Services.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications align with business objectives. You will also engage in testing and validation processes to ensure the applications function as intended, while continuously seeking opportunities for improvement and optimization in application design. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in the documentation of application design processes and requirements.- Collaborate with cross-functional teams to ensure alignment on project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Good To Have Skills: Experience with data integration and ETL processes.- Strong understanding of application design principles and methodologies.- Familiarity with database management systems and data modeling.- Experience in troubleshooting and resolving application issues. Additional Information:- The candidate should have minimum 3 years of experience in SAP BusinessObjects Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Good To Have Skills: Experience with data integration and ETL processes.- Strong understanding of data warehousing concepts and methodologies.- Familiarity with SQL and database management systems.- Experience in application lifecycle management and deployment strategies. Additional Information:- The candidate should have minimum 3 years of experience in SAP BusinessObjects Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and transformation processes.- Experience with ETL (Extract, Transform, Load) methodologies.- Familiarity with database management systems and SQL.- Ability to troubleshoot and resolve application issues effectively. Additional Information:- The candidate should have minimum 2 years of experience in SAP BusinessObjects Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and transformation processes.- Experience with ETL (Extract, Transform, Load) methodologies.- Familiarity with database management systems and SQL.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 3 years of experience in SAP BusinessObjects Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education