208 Datahub Jobs

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. Join us to transform the way the world works. This role will be based in Bangalore, India. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities: - You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. - You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. - You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance - You will effectively communicate with the team, partners and stakeholders. - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team - You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg) - You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale - You will diagnose technical problems, debug in production environments, and automate routine tasks Basic Qualifications: - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 8+ years of industry experience in software design, development, and algorithm related solutions. - 8+ years experience programming in object-oriented languages such as Java, Python, Go and/or Functional languages such as Scala or other relevant coding languages - Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications: - Experience with Hadoop (or similar) Ecosystem (Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, Spark, Presto) - Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems - Experience in architecting, building, and running large-scale systems - Experience with open-source project management and governance Suggested Skills: - Distributed systems - Backend Systems Infrastructure - Java You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal

The Engineering Lead Analyst is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to lead efforts to ensure quality standards are being met within existing and planned framework. Responsibilities: Serve as a technology subject matter expert for internal and external stakeholders and provide direction for all firm mandated controls and compliance initiatives, all projects within the group and in creating a technology domain roadmap Ensure that all integration of functions meet business goals Define necessary system enhancements to deploy new products and process enhancements Recommend product customization for system integration Identify problem causality, business impact and root causes Exhibit knowledge of how own specialty area contributes to the business and apply knowledge of competitors, products and services Advise or mentor junior team members Impact the engineering function by influencing decisions through advice, counsel or facilitating services Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. You will make contributions to the ideal architecture of the software Drive adoption of capabilities across regions by partnering with regional business and technology teams You will contribute to the microservice architecture development including RESTAPI and Graphql Develop approaches to integrate data into the DataHub (EAP) and prototype methods of developing insights on that data with our business analytics teams and digital product teams. Assist in troubleshooting Data and Client experience issues by leveraging our capabilities and / or working with other teams to dive into root cause analysis. Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud ‘big data’ technologies. Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS/GCP regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data system. Ability to adjust priorities quickly as circumstances dictate Software must to have- HBase Mongo DB Oracle CICD Light speed OpenShift ML /AL Java Java Microservice Python PySpark Hadoop Google AWS Qualifications: Languages: Java (expert), Python (proficiency is a plus) Frameworks: Spring Boot (deep expertise), Java Microservices, REST API, GraphQL Messaging/Streaming: Apache Kafka (deep expertise in design, development, and operation) Databases: HBase, MongoDB, Oracle, SQL DevOps/CI/CD: Experience with CI/CD pipelines, OpenShift, Git Big Data: Hadoop, PySpark (experience with real-time streaming and stream processing frameworks is a plus) Cloud Platforms: AWS, Google Cloud (GCP) Other: LightSpeed (experience is a plus), ML/AL concepts (awareness is a plus) Education: Bachelor’s degree/University degree in Computer Science Engineering or equivalent experience Master’s degree in Computer Science Engineering preferred Hands-on Expert Coder ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Systems & Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Guidewire DataHub Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Your typical day will involve collaborating with various stakeholders to gather and synthesize information, assessing the current state of operations, and identifying customer requirements to define future business solutions. You will engage in research activities to ensure that the proposed solutions align with organizational goals and effectively address the needs of the business. 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 workshops and meetings to gather requirements and ensure alignment among stakeholders. - Document business processes and create detailed specifications for system enhancements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire DataHub. - Experience with data integration and management tools. - Strong analytical skills to assess business processes and identify areas for improvement. - Ability to communicate effectively with technical and non-technical stakeholders. - Familiarity with project management methodologies. Additional Information: - The candidate should have minimum 5 years of experience in Guidewire DataHub. - This position is based in Hyderabad. - A 15 years full time education is required.

About the job About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, youre not just building the future - youre an agent of positive change, joining a global community on a mission to make an impact. Learn more at diligent.com or follow us on LinkedIn and Facebook Position Overview We are looking for a Senior Data Engineer to lead the design and implementation of our data platform , enabling decentralized data ownership with federated governance across business domains. You will build scalable, self-service platforms that empower teams, integrate diverse data sources, and ensure governance, risk, and compliance (GRC) requirements are met. Responsibilities Design and implement domain-oriented, federated data architectures with clear APIs, SLAs, and ownership. Build self-serve data infrastructure platforms for discovery, access, and lifecycle management. Implement automated governance and compliance policies at scale. Lead development of high-performance pipelines, data catalogs, and monitoring systems. Integrate data from enterprise systems, cloud-native services, external APIs, IoT, and unstructured sources. Utilize MCP Server for orchestration and workflow control of pipelines and compliance processes. Mentor engineers and drive adoption of data-as-a-product thinking across teams. Core Qualifications Bachelor's degree in computer science, Engineering, or related field. 5-10 years in data engineering with increasing leadership responsibilities. 3+ years with distributed data architectures and multi-domain ecosystems. Strong expertise in Python, SQL, and distributed computing (Spark, Flink, Kafka). Experience with AWS (or multi-cloud), hands on experience on AWS services, setting up Containerize applications through IAC Tools like Terraform, CDK. Familiarity with data catalog/discovery tools (e.g., DataHub, Collibra), schema evolution, and data marketplaces. Hands-on experience with GRC-focused systems, MCP Server, policy automation and AI technology. Preferred Skills Knowledge of real-time analytics, MLOps, and self-healing pipelines. Experience in regulated industries and with privacy/regulatory standards (GDPR, CCPA). Exposure to emerging data technologies (e.g., Data Mesh platforms, decentralized protocols). What Diligent Offers You Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney. Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding. Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community. We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights . We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com. To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

Key Responsibilities Design, build, and maintain scalable data pipelines for batch and real-time processing using tools like Apache Airflow, dbt, or Apache Spark. Develop robust ETL/ELT workflows to ingest, clean, transform, and load data from diverse sources (APIs, databases, files, streams). Work with stakeholders to understand data needs and translate business requirements into technical solutions. Ensure data is accurate, timely, and accessible to downstream users (BI tools, ML models, applications). Collaborate with data architects and engineers to build a modern data stack leveraging cloud-native platforms (e.g., AWS, GCP, Azure). Monitor and optimize data pipeline performance, scalability, and cost-efficiency. Implement data quality, validation, and observability frameworks to proactively detect and resolve issues. Maintain clear documentation of pipelines, data flows, and architecture. Support data compliance, governance, and security policies. Required Qualifications Technical Skills Strong programming skills in Python or Scala for data engineering tasks. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt, Luigi, Kedro). Proficiency in SQL for data manipulation and modeling. Experience with big data and distributed processing technologies (e.g., Spark, Kafka, Flink). Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Hands on experience with cloud platforms and data services (e.g., AWS Glue, GCP Dataflow, Azure Data Factory). Experience working with version control (Git), CI/CD pipelines, and containerized environments (Docker, Kubernetes). Soft Skills Strong problem solving and debugging skills. Excellent communication and documentation abilities. Ability to work independently and collaborate across cross-functional teams. Strong attention to detail and data quality. Preferred Qualifications Experience with real time data streaming and event driven architectures. Familiarity with data cataloging and lineage tools (e.g., Amundsen, DataHub). Knowledge of MLOps or integration with ML pipelines is a plus. Experience in industries like ecommerce, finance, or healthcare is a bonus. Education & Experience Bachelors or Masters degree in Computer Science, Engineering, or a related field. 2 to 5 years of experience in data engineering or pipeline development roles. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

General Information Locations : Hyderabad, Telangana, India Location: Hyderabad Country: India Role ID 210729 Worker Type Regular Employee Studio/Department CT - Infrastructure & Platform Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Data Engineer II - EADP Social Engineering We Are EA We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, EA Sports FC, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius. Opportunity Ahead EA’s Digital Platform (EADP) organisation is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games & services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone. EA Hyderabad is seeking a Data Engineer II with a love for data. You will be responsible for planning, building and deploying Enterprise Integration and Business Intelligence solutions for EA. You will be a subject matter expert in building data integration solutions using modern ETL technologies. You will be leveraging cutting edge tools & technologies to store, analyse petabytes of data and solve complex business problems. You will collaborate with product, business and engineering teams to build & deliver the most optimal solution. Key Responsibilities Analyse and organise raw data; model datasets (3NF, dimensional) for analytics and products. Build and operate reliable data pipelines (batch and streaming) across multiple sources at petabyte scale. Diagnose data issues; implement data quality checks, contracts, and alerting to improve reliability. Partner with product, business, and engineering to identify new data acquisition opportunities. Create reusable analytical tools, libraries, and metrics that enable data-driven decisions. Collaborate with data scientists and architects across teams to serve their data needs. Evangelise data as a first-class citizen through documentation, standards, and reviews. Must Have Skills 4–6 years designing, developing, and managing data systems (warehouses, lakes, and distributed stores) at multi-PB scale. Expert querying and performance tuning in SQL/HiveQL; working knowledge of CQL and MongoDB Query Language. Strong data modelling (3NF, star/snowflake); proven optimisation of queries, file formats, and partitioning. Proficiency in Python or Java for data engineering. Ingestion from JSON/XML/CSV and CDC/streaming sources; schema evolution and backfills. Orchestration with Airflow or equivalent; distributed processing with Apache Spark. Cloud data platforms (AWS/Azure/GCP). Example AWS stack: S3, Glue/EMR, Lambda/Step Functions; Redshift or Snowflake; Trino/Presto; Iceberg/Delta/Hudi. Visualisation exposure (Tableau/Power BI) and stakeholder communication. Experience in fast-paced agile teams using GitLab, Jira, and Confluence. Excellent troubleshooting in distributed environments; clear written and verbal communication. Desirable Skills Real-time pipelines with Kafka/MSK or Kinesis; Flink or Spark Structured Streaming. Data quality frameworks (Great Expectations/Deequ) and lineage/catalogue (DataHub/Amundsen). Basic statistical modelling or ML feature engineering in production. What’s in it for you? Glad you asked! We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day. Don’t Just Play It – Create It! About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Guidewire DataHub Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Your typical day will involve collaborating with various stakeholders to understand their needs, conducting thorough research, and synthesizing information to propose effective business solutions. You will assess the current state of operations, identify customer requirements, and define the future state, ensuring that the proposed solutions align with organizational goals and enhance overall efficiency. 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 workshops and meetings to gather requirements and feedback from stakeholders. - Develop and maintain comprehensive documentation to support project initiatives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire DataHub. - Experience with data integration and management tools. - Strong analytical skills to assess business processes and identify areas for improvement. - Ability to communicate complex ideas clearly and effectively to diverse audiences. - Familiarity with project management methodologies and tools. Additional Information: - The candidate should have minimum 5 years of experience in Guidewire DataHub. - This position is based at our Gurugram office. - A 15 years full time education is required.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Data Engineer II - EADP Social Engineering We Are EA We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, EA Sports FC, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius. Opportunity Ahead EA’s Digital Platform (EADP) organisation is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games & services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone. EA Hyderabad is seeking a Data Engineer II with a love for data. You will be responsible for planning, building and deploying Enterprise Integration and Business Intelligence solutions for EA. You will be a subject matter expert in building data integration solutions using modern ETL technologies. You will be leveraging cutting edge tools & technologies to store, analyse petabytes of data and solve complex business problems. You will collaborate with product, business and engineering teams to build & deliver the most optimal solution. Responsibilities Key Responsibilities Analyse and organise raw data; model datasets (3NF, dimensional) for analytics and products. Build and operate reliable data pipelines (batch and streaming) across multiple sources at petabyte scale. Diagnose data issues; implement data quality checks, contracts, and alerting to improve reliability. Partner with product, business, and engineering to identify new data acquisition opportunities. Create reusable analytical tools, libraries, and metrics that enable data-driven decisions. Collaborate with data scientists and architects across teams to serve their data needs. Evangelise data as a first-class citizen through documentation, standards, and reviews. Must Have Skills 4–6 years designing, developing, and managing data systems (warehouses, lakes, and distributed stores) at multi-PB scale. Expert querying and performance tuning in SQL/HiveQL; working knowledge of CQL and MongoDB Query Language. Strong data modelling (3NF, star/snowflake); proven optimisation of queries, file formats, and partitioning. Proficiency in Python or Java for data engineering. Ingestion from JSON/XML/CSV and CDC/streaming sources; schema evolution and backfills. Orchestration with Airflow or equivalent; distributed processing with Apache Spark. Cloud data platforms (AWS/Azure/GCP). Example AWS stack: S3, Glue/EMR, Lambda/Step Functions; Redshift or Snowflake; Trino/Presto; Iceberg/Delta/Hudi. Visualisation exposure (Tableau/Power BI) and stakeholder communication. Experience in fast-paced agile teams using GitLab, Jira, and Confluence. Excellent troubleshooting in distributed environments; clear written and verbal communication. Desirable Skills Real-time pipelines with Kafka/MSK or Kinesis; Flink or Spark Structured Streaming. Data quality frameworks (Great Expectations/Deequ) and lineage/catalogue (DataHub/Amundsen). Basic statistical modelling or ML feature engineering in production. What’s in it for you? Glad you asked! We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day. Don’t Just Play It – Create It! About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

General Information Locations : Hyderabad, Telangana, India Location: Hyderabad Country: India Role ID 210729 Worker Type Regular Employee Studio/Department CT - Infrastructure & Platform Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Data Engineer II - EADP Social Engineering We Are EA We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, EA Sports FC, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius. Opportunity Ahead EA’s Digital Platform (EADP) organisation is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games & services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone. EA Hyderabad is seeking a Data Engineer II with a love for data. You will be responsible for planning, building and deploying Enterprise Integration and Business Intelligence solutions for EA. You will be a subject matter expert in building data integration solutions using modern ETL technologies. You will be leveraging cutting edge tools & technologies to store, analyse petabytes of data and solve complex business problems. You will collaborate with product, business and engineering teams to build & deliver the most optimal solution. Key Responsibilities Analyse and organise raw data; model datasets (3NF, dimensional) for analytics and products. Build and operate reliable data pipelines (batch and streaming) across multiple sources at petabyte scale. Diagnose data issues; implement data quality checks, contracts, and alerting to improve reliability. Partner with product, business, and engineering to identify new data acquisition opportunities. Create reusable analytical tools, libraries, and metrics that enable data-driven decisions. Collaborate with data scientists and architects across teams to serve their data needs. Evangelise data as a first-class citizen through documentation, standards, and reviews. Must Have Skills 4–6 years designing, developing, and managing data systems (warehouses, lakes, and distributed stores) at multi-PB scale. Expert querying and performance tuning in SQL/HiveQL; working knowledge of CQL and MongoDB Query Language. Strong data modelling (3NF, star/snowflake); proven optimisation of queries, file formats, and partitioning. Proficiency in Python or Java for data engineering. Ingestion from JSON/XML/CSV and CDC/streaming sources; schema evolution and backfills. Orchestration with Airflow or equivalent; distributed processing with Apache Spark. Cloud data platforms (AWS/Azure/GCP). Example AWS stack: S3, Glue/EMR, Lambda/Step Functions; Redshift or Snowflake; Trino/Presto; Iceberg/Delta/Hudi. Visualisation exposure (Tableau/Power BI) and stakeholder communication. Experience in fast-paced agile teams using GitLab, Jira, and Confluence. Excellent troubleshooting in distributed environments; clear written and verbal communication. Desirable Skills Real-time pipelines with Kafka/MSK or Kinesis; Flink or Spark Structured Streaming. Data quality frameworks (Great Expectations/Deequ) and lineage/catalogue (DataHub/Amundsen). Basic statistical modelling or ML feature engineering in production. What’s in it for you? Glad you asked! We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day. Don’t Just Play It – Create It! About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Role Overview We are seeking an experienced Data Modeler to manage and oversee activities that define client business data assets in alignment with the Data & Analytics Strategy. The role requires strong expertise in data warehouse design, dimensional modeling, and solution architecture, along with hands-on experience in Oracle databases and Azure Data Factory (ADF) . The candidate will work closely with stakeholders, architects, ETL, and testing teams to deliver scalable and optimized data models. Key Responsibilities Manage and oversee all activities defining client business data assets. Design conceptual, logical, and physical data models using Visio/ERwin . Apply data warehouse design principles including dimensional modeling, data vault, star schema, and snowflake schema . Create and present mapping documents for ETL and testing teams. Collaborate with architects and business stakeholders to gather/validate requirements and secure sign-offs. Influence and contribute to the Data & Analytics strategy . Conduct business data modeling and enable enterprise data management. Ensure data security, governance, and improved datahub performance. Manage multiple initiatives/projects end-to-end. Qualifications & Experience Bachelor’s degree in Computer Science, Information Systems, or related field. Minimum 8 years of IT experience , with at least 3 years in data architecture / information system design . Proven experience designing and implementing information/database structures. Hands-on expertise in Oracle database development (PL/SQL, performance tuning, schema design). Strong knowledge and practical experience with Azure Data Factory (ADF) for ETL/ELT. Proficiency with ERwin, Visio, or equivalent modeling tools . Strong leadership and people management skills with cross-cultural collaboration. Excellent communication and stakeholder management abilities. ✅ Must-Have Skills Data Modeling Expertise – Transactional, dimensional, star schema, snowflake schema, data vault. Oracle Database – SQL/PLSQL, schema design, performance tuning. Azure Data Factory (ADF) – Hands-on ETL/ELT experience. Data Warehouse Design – End-to-end design and solution architecture. Tools – Proficiency with ERwin, Visio . Experience – 8+ years IT experience (3+ in data architecture/design). Soft Skills – Strong leadership, stakeholder management, strategic thinking, and communication.

This job is with Morningstar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. The Role At Morningstar, helping investors is what brings us together and drives our work. We are looking for a Senior Data Engineer to join the Corporate Systems Data Enablement team to support Morningstar's Business Intelligence Reporting, grow with us, introduce us to new ideas and develop products that empower our users. Every day, you'll partner with team members across disciplines developing products for investors. You'll interact daily with product managers, and business stakeholders to understand our domain and create technical solutions that push us forward. You will be a member of a vibrant technical community and share your technical knowledge while also learning from your fellow technologist. This position is based in our Mumbai office. Responsibilities Design, develop, and optimize data pipelines to support data integration, transformation, and storage in a modern data warehouse. Manage and maintain cloud-based data infrastructure on AWS. Maintain SQL Server-based data models and Informatica ETL processes. Support the migration of data pipelines from SQL Server to a modern data warehouse like Snowflake. Optimize SQL queries, stored procedures, indexing strategies, and data models for efficiency and scalability Work closely with data analysts, data scientists, product manager and other stakeholders to understand business requirements and provide efficient data solutions. Write efficient, reusable, and scalable Python code to automate data workflows. Monitor data quality and ensure data integrity, governance and security in the data pipelines. Troubleshoot and optimize performance issues across data systems. Mentor and collaborate with junior data engineers to improve overall team capabilities. Work closely with analytics and BI teams to support reporting and dashboarding needs. Requirements A bachelor's degree in Computer Science or a related field. Over eight years of experience in data engineering, building end-to-end data integration and data warehousing solutions for analytics teams. Experience in designing and implementing ETL/ELT frameworks for complex data warehouses/marts. Proficiency in handling large data sets, with experience in performance tuning and troubleshooting. Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3). Experience with data visualization tools like Tableau or Power BI. Experience with Snowflake, DBT and DataHub is a plus. Proficiency in Python programming for data engineering tasks (e.g., data wrangling, automation, and ETL). Expert-level SQL skills. Experience with version control (e.g., Git) and collaborative development practices. Strong understanding of data governance practices. Proven experience working within a global agile team. Strong problem-solving skills and the ability to work in a fast-paced environment. A flexible team player who remains organized and productive while managing multiple deliverables. Morningstar is an equal opportunity employer Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

What will you (candidate) do: You will manage and oversee all activities that define client business data assets in alignment with Client Data & Analytics Strategy to respond to disruptive forces and move toward desired business outcomes. The Enterprise Data Architect is responsible for discovering the data and analytics requirements for all uses as well as use logical and analytical thinking to come up with creative and innovative database solutions. • Influence client Data & Analytics Strategy • In depth understanding of data warehouse design (including dimensional modelling, data vault, star schema and snowflake schema). • Make / adjust designs on fly with proper justification • Design data models (visio, Erwin). • Make mapping documents and present to ETL and testing team so that they can start implementation. • Interact with other architects and business stake holders to gather and validate requirements and to get signoffs. • Manage multiple initiatives / projects from start till end. • Maximize value derived from data and analytics • Surface data priority • Enhance decision making • Conduct business data modelling • Enable enterprise data management • Secure data and analytic assets • Improve Datahub performance • Data Architecture and solution design What will you (candidate) bring: To succeed within this role, you will be bring a strong mix of practical experience, technical skills and business skills, including the following: • Degree preferably in computer science, information systems or a related study • Minimum of 8 years’ experience in IT with at least three years in information system design or data architecture work. • In-depth experience of designing and implementing information solutions and database structure principles (transactional modeleing, dimensional modelling – start schema, data vault). • Strong leadership skills and people management experience working across culture able to inspire your team to the agenda and coach and improve performance. • Hands-on experience with implementing data and analytics management programs is preferred. • You will have the ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers. • You will have the following business skills: strategic thinker, analytical thinking, problem solving, resilient, emotional intelligence, cultural awareness, results focused • You will be a team player with high standards of business ethics and a drive to deliver, innovate and improve, whilst building strong partnerships within and outside client. • You will be an excellent communicator able to build relationships, communicate and influence at all levels Most importantly you will have passion for contributing to client’s mission and growing a leading global investment company.

Overview: SUMMARY RealPage’s DataHub team is building an enterprise platform that standardizes customer data collection for product implementations. Business Analysts play an important role in accelerating the product development roadmap to deliver an enterprise platform that will be used by Realpage customers, solution consultants and Implementation specialists. RealPage is looking for a dedicated Business Analyst to join our team. In this role, you will work closely with business stakeholders and technical teams to automate processes and ensure quality deliverables. Your insights and expertise will be vital to improve efficiency, accuracy, and speed across the organization's functions. Responsibilities: PRIMARY RESPONSIBILITIES Requirements Gathering: Work with various business units to understand requirements, specifications, and process details to develop suitable automation solutions. Design and Documentation: Translate business requirements into functional specifications and process flow documents. Collaborate with developers to ensure clear understanding and accurate implementation. Supporting Development: Collaborate closely with the development team to ensure the solution fits the business needs. User Acceptance Testing: Define and implement test cases and Facilitate user acceptance testing, ensuring the accuracy of automated processes and alignment with business goals. Change Management: Assist in change management activities, including training, user support, and stakeholder communication. Monitoring and Continuous Improvement: Monitor performance of implemented solutions and identify opportunities for improvement and optimization. Compliance and Governance: Ensure solutions are in line with legal and regulatory requirements, as well as internal policies and guidelines. Work with US based project team members with 4-hours overlap from 8:00 AM to 12:00 PM CST. Qualifications: REQUIRED KNOWLEDGE/SKILLS/ABILITIES Bachelor’s degree in computer science, Engineering, or related field. 3-5 years of experience in requirements gathering and stakeholder management. 3-5 years of experience in Quality assurance (defining & executing test cases). Familiarity with Azure Dev Ops. Strong analytical and problem-solving skills. Solid understanding of Agile development.

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. Position Summary JOB DESCRIPTION – Manager, Analytics Consulting The Manager – Analytics Consulting leads a high-performing team of analytics and business intelligence professionals responsible for delivering innovative data solutions and reporting for UKG products, including UKG Pro, UKG Dimensions, and UKG DataHub. Leveraging tools such as IBM Cognos, BIRT, Power BI, and GCP BigQuery, this role ensures the successful execution of analytics initiatives and the first-level support for custom solutions deployed to UKG customers. This role partners closely with cross-functional leadership to manage project pipelines, prioritize team workload, and ensure timely, high-quality delivery. The Manager fosters a culture of continuous learning, operational excellence, and employee engagement, driving customer satisfaction and long-term retention. Key Responsibilities Lead and mentor a team of analytics consultants and BI specialists, providing clear goals, regular feedback, and professional development opportunities. Oversee the delivery of analytics solutions, ensuring alignment with business objectives, technical standards, and customer expectations. Collaborate with cross-functional teams to forecast monthly delivery plans and allocate resources based on skills, experience, and availability. Monitor project progress, proactively remove roadblocks, and ensure timely and successful delivery of all initiatives. Track team performance and productivity metrics, using insights to drive continuous improvement. Promote adherence to best practices, methodologies, and governance standards across all analytics projects. Maintain fiscal responsibility and manage team budgets effectively. Support and enhance the customer experience by ensuring timely resolution of issues and promoting solution adoption. Foster a collaborative and inclusive team culture that values innovation, accountability, and excellence. Qualifications 13+ years of experience in Analytics and Business Intelligence, including 3+ years in a people management role. Proven experience in developing and deploying data warehouse and reporting solutions. Hands-on expertise with tools such as IBM Cognos, BIRT, Power BI, and familiarity with GCP BigQuery or similar platforms. Knowledge of cloud platforms such as Google Cloud Platform or Microsoft Azure is a plus. Familiarity with Python is preferred but not mandatory. Strong interpersonal, leadership, and problem-solving skills. Ability to work effectively with global teams, including flexibility to collaborate with peers in the US and Australia. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

NTT DATA is looking for a Guidewire Claims Center Developer to join their team in Bangalore, Karnataka (IN-KA), India. The ideal candidate should have more than 5 years of experience in Guidewire Claims Center technical development. The responsibilities of this role include working on Guidewire integration, testing automation, code coverage, workflows implementation, string development, GW Cloud version experience, Data Dog familiarity, GW ACE & Certifications, and rule writing using GOSU code. The candidate must have development experience in Claims Center and basic knowledge of Guidewire Claims Center implementation. Additionally, the candidate should possess general knowledge of the Insurance (P&C) business, understanding of the Insurance eco-system and data lifecycle, and be able to work independently with minimal direction. Proficiency in Object Oriented technologies, familiarity with UML and other OO Tools, working knowledge of Java J2EE, JSP & Web Services, and skills in modifying XML definitions, scripting (JavaScript, VB, etc.), relational database concepts, and implementing advanced web applications are required. The candidate will be responsible for analyzing, developing, and maintaining large-scale Claims Center applications, conducting code reviews and J-Unit testing, integration and business analysis activities for future Claims Center implementations, drafting technical requirements, participating in enterprise architecture initiatives related to Guidewire Integrations, collaborating with Guidewire Integration Architects, and investigating data format, file format, and integration methods. Nice to have skills include basic knowledge and experience of Guidewire Data Hub implementation. If you are passionate about innovation and growth, and can work collaboratively and communicate effectively, apply now to join NTT DATA's inclusive and forward-thinking organization. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With diverse experts in more than 50 countries and a robust partner ecosystem, NTT DATA offers business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success.,

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The mission of our team is to develop a world-class big data platform that will provide value to us, our partners, and our customers by leveraging data. We aim to democratize data, provide self-service reporting and analytics tools, and fuel existing and new business/engineering initiatives that are critical to business success. You will join the Data Engineering Team as a Senior Data Engineer. You will work on building tools, frameworks, and processes to ensure high-quality data. About the role As a world-class big data platform, Data Governance must be implemented for the multitude of datasets within Roku. There is a wide variety of data sources with a wide range of schemas available. As a result, it becomes increasingly challenging to develop and maintain automated tests and data validations on a large scale. The data-driven nature of Roku, however, requires prompt detection and resolution of data quality issues and utmost confidence in the data. What you’ll be doing Building highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and a petabyte-sized data warehouse Building quality data solutions and refine existing diverse datasets into simplified models encouraging self-service Building data pipelines that perfect data quality and are resilient to inadequate data sources Partner with upstream teams to build test automation for data logging Define scalable schema design and custom validators for both offline and online data validations Building an online validation framework to minimize “bad” data flowing downstream Support downstream teams with data quality discovery and resolution Build data discovery frameworks that help with an accurate lineage of data elements and metrics Low level systems debugging, performance measurement & optimization in large production clusters Maintain and support existing platforms and evolve to modern technology stacks and architectures We’re excited if you have Extensive SQL skills Ability in at least one scripting language, Python, is needed Ability in at least one object-oriented language, Java is preferred Experience with big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow Experience with AWS (Amazon Web Services), GCP (Google Cloud Platform) (Google Cloud Platform), Looker is a plus Experience with Data Governance tools like Alation, DataHub etc. is a plus Experience with data access controls, data privacy implementation and data security standards is a plus Experience with streaming tech stack, schema registry, data contracts, validation frameworks & tools 5+ years professional experience as a data or software engineer BS in Computer Science; MS in Computer Science preferred# Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe here at any time.

Job Requirements Ensure that the Data needed for use cases developed on the Inmation Industrial Data Fabric is properly brought and stored within the solution. Work with the Inmation Use cases Product Owner to define needed Data for the use cases Set solutions to export Data from the Inmation Industrial Data Fabric to other platforms and solutions, especially Branches Data Platforms (RC DataHub, Surface Data Platform, eSpark) Set interfaces to import Data from other sources when needed by use cases Monitor data import, export and consumption with the Inmation Industrial Data Fabric Collaborate with TotalEnergies Inmation Industrial Data Fabric team and Aspentech contractor to gather new data from OT and implement models on the solution. Work with sites and users to identify data sources and inject them properly within Inmation Industrial Data Fabric. Work with TotalEnergies Data community on roadmaps and Data Products implementation on Data Platforms (RC DataHub, Surface Data Platform, eSpark) Work Experience Bachelor degree in E&C / Computer Science with 6-10 Years of experience in Aspentech Inmation. Business Skills Oil & Gas domain knowledge (e.g., upstream/downstream operations). Working on relevant use cases involving new data sources and products. Collaborating with teams like Inmation Industrial Data Fabric team, Aspentech contractors, sites, users, and TotalEnergies Data community. OT Skills Gathering new data from OT sources (e.g., DCS, PLC). OPC UA/DA protocols. Integration with systems like Honeywell, Schneider, Yokogawa, Emerson, ABB, or other PLCs. ISA95 standards for industrial data structures. PI System for real-time data management. IT Skills Inmation Industrial Data Fabric solution expertise. LUA scripting for data engineering within Inmation. Azure / Databricks for IT-side interfaces and data handling. Cognite for digital twin integration. Cyber security knowledge related to data interfaces. Setting up solutions for data export to platforms like RC DataHub, Surface Data Platform, eSpark. Setting interfaces for data import from other sources. Monitoring data import, export, and consumption.

Job Requirements Process and integrate Data into the Data storage solution that will be deployed by the program team Work with the Inmation Use cases Product Owner to define needed Data for the use cases Use Inmation Data Studio to implement Data models adapted to the use cases and implement visualization Dashboard with Web Studio for data use Identify whether Data are properly collected for use cases and if there is no missing data, and globally ensure that a data quality approach is set Participate in defining the evolution roadmap of the Inmation Industrial Data Fabric solution. Collaborate with TotalEnergies Inmation Industrial Data Fabric team and Aspentech contractor to gather new data from OT and implement models on the solution. Work with sites and users to identify data sources and inject them properly within Inmation Industrial Data Fabric. Work with TotalEnergies Data community on roadmaps and Data Products implementation on Data Platforms (RC DataHub, Surface Data Platform, eSpark) Work Experience Business Skills Oil & Gas domain knowledge (e.g., upstream/downstream operations). Project Management for use case development and roadmap planning. Working on relevant use cases involving new data sources and products. Collaborating with teams like Inmation Industrial Data Fabric team, Aspentech contractors, sites, users, and TotalEnergies Data community. OT Skills Gathering new data from OT sources (e.g., DCS, PLC). OPC UA/DA protocols. Integration with systems like Honeywell, Schneider, Yokogawa, Emerson, ABB, or other PLCs. ISA95 standards for industrial data structures. PI System for real-time data management. IT Skills Inmation Industrial Data Fabric solution expertise. Inmation Data Studio for implementing Data models. Web Studio for visualization Dashboard implementation. Azure / Databricks for IT-side interfaces and data handling. Cognite for digital twin integration. Cyber security knowledge related to data interfaces. Working with Data Platforms like RC DataHub, Surface Data Platform, eSpark for roadmaps and Data Products implementation.

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description Job Description Summary: You will analyse business problems to be solved with SAP Hybris systems. Provide technical expertise in identifying systems that are cost-effective and meet user requirements. Configure system settings and options; plans and build unit, integration and acceptance testing; and create specifications for systems to meet our requirements. Design details of automated systems. Provide consultation to users around automated systems. You will report to the Team Lead -IT and work in a hybrid capacity from Hinjewadi Pune, India. Your Responsibilities: Work with a team of engineers, technical leaders, analysts to allow new features for internal and external customers, while keeping our applications secure and stable. Prototype, develop/deliver and steward platforms for a business capability Perform peer-level architectural reviews. Attack roadblocks and impediments to delivering incremental value Be a go-to person for assessing system anomalies (bugs, security, performance) This is not a managerial role. The Essentials - You Will Have: Education - B Tech, BE, MCA, M.Sc 4+ years of SAP Commerce (Hybris) 2105+ commerce development experience. Hands-on experience working on cloud portal (CCV2). Knowledge of the Hybris platform and experience developing on it. Hands on experience with Hybris Core Architecture, cockpits, impex, Backoffice customization, OCC, Business Process, Smart Edit, Hot folders, Headless commerce, Hac and storefront development skills. Knowledge and Hands-on experience of Hybris datahub Knowledge and Hands-on experience of SOLR search engine. Hybris application integration experience using API's Some Knowledge of SAP CRM/ SAP ECC and middlewares like Mulesoft Hands-on experience of RESTful APIs and integration technologies with Hybris. The Preferred - You Might Also Have: 3+ years of experience working in a cloud-first operating model or within a dedicated cloud team Experience within large SaaS platforms such as SAP, MS Dynamics, Salesforce, SAP Commerce Cloud. Experience in automated testing, including unit and functional, testing with tooling such as Selenium, Tricentis, Cucumber, or other opensource frameworks. Experience in one or more SQL or NoSQL databases technologies including Azure database services such as CosmosDB, MariaDB, and Azure DB migration services Some experience instantiating cloud platforms services (e.g. Azure, AWS, GCP) Dabbled with scripting and automation skills. (Python, Go, Yaml, and Jenkins) Experience with Agile software development and test-driven development. Demonstrate an informed knowledge of department to resolve problems on an ongoing business. Support several moderately complex business processes in area of Purchase to Deploy. Working knowledge for SAP Commerce platform, e-commerce strategies Spartacus front end knowledge What We Offer: Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development ... and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. #LI-SM1, #LI-Hybrid Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India; Bangalore, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in advertising sales, digital marketing, consulting, or media. Experience in people management. Preferred qualifications: Experience in managing and developing sales teams to deliver results with a shared insight and purpose. Leadership experience in sales/operations management, strategic planning, and systems thinking, with the ability to align strategies and deliver customer business outcomes. Experience in managing media plans and activations for customers, AI driven products and solutions. Experience of Google Analytics, Google Marketing Platform, Ads Datahub or similar products. About The Job Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Marketing Partners Team within LCS are Media, Creative, Tech, Content and Capability teams, who work together to grow our customers via skilled marketing partners (Media, Creative and AI/Tech agencies/partners) and super-charge Google’s growth in an engaged ecosystem with exceptional focus on incremental business. The Marketing Partners team helps customers transform and build what's meaningful for their businesses, in partnership with our cutting-edge media, creative, AI and Marketing Technology (MarTech) agencies and partners. Our teams are dedicated to helping our partners see the benefits of our products and technologies come to life. As part of an nimble team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the AI and Martech needs and define the future of their businesses. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Responsibilities Drive comprehensive adoption of Google products across Performance, Branding with Partner ecosystem to drive exception results for Customers. Drive adoption of Google data, analytics and measurement technologies across AI, Martech with the Partner ecosystem to drive exceptional results for Customers. Transform customers using AI, Martech, Media solutions in partnership with agency, partner ecosystem. Build an amazing and responsive Agency/Partner ecosystem to foster cutting edge AI and Martech solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India; Bangalore, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in advertising sales, digital marketing, consulting, or media. Experience in people management. Preferred qualifications: Experience in managing and developing sales teams to deliver results with a shared insight and purpose. Leadership experience in sales/operations management, strategic planning, and systems thinking, with the ability to align strategies and deliver customer business outcomes. Experience in managing media plans and activations for customers, AI driven products and solutions. Experience of Google Analytics, Google Marketing Platform, Ads Datahub or similar products. About The Job Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Marketing Partners Team within LCS are Media, Creative, Tech, Content and Capability teams, who work together to grow our customers via skilled marketing partners (Media, Creative and AI/Tech agencies/partners) and super-charge Google’s growth in an engaged ecosystem with exceptional focus on incremental business. The Marketing Partners team helps customers transform and build what's meaningful for their businesses, in partnership with our cutting-edge media, creative, AI and Marketing Technology (MarTech) agencies and partners. Our teams are dedicated to helping our partners see the benefits of our products and technologies come to life. As part of an nimble team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the AI and Martech needs and define the future of their businesses. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Responsibilities Drive comprehensive adoption of Google products across Performance, Branding with Partner ecosystem to drive exception results for Customers. Drive adoption of Google data, analytics and measurement technologies across AI, Martech with the Partner ecosystem to drive exceptional results for Customers. Transform customers using AI, Martech, Media solutions in partnership with agency, partner ecosystem. Build an amazing and responsive Agency/Partner ecosystem to foster cutting edge AI and Martech solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India; Bangalore, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in advertising sales, digital marketing, consulting, or media. Experience in people management. Preferred qualifications: Experience in managing and developing sales teams to deliver results with a shared insight and purpose. Leadership experience in sales/operations management, strategic planning, and systems thinking, with the ability to align strategies and deliver customer business outcomes. Experience in managing media plans and activations for customers, AI driven products and solutions. Experience of Google Analytics, Google Marketing Platform, Ads Datahub or similar products. About The Job Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Marketing Partners Team within LCS are Media, Creative, Tech, Content and Capability teams, who work together to grow our customers via skilled marketing partners (Media, Creative and AI/Tech agencies/partners) and super-charge Google’s growth in an engaged ecosystem with exceptional focus on incremental business. The Marketing Partners team helps customers transform and build what's meaningful for their businesses, in partnership with our cutting-edge media, creative, AI and Marketing Technology (MarTech) agencies and partners. Our teams are dedicated to helping our partners see the benefits of our products and technologies come to life. As part of an nimble team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the AI and Martech needs and define the future of their businesses. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Responsibilities Drive comprehensive adoption of Google products across Performance, Branding with Partner ecosystem to drive exception results for Customers. Drive adoption of Google data, analytics and measurement technologies across AI, Martech with the Partner ecosystem to drive exceptional results for Customers. Transform customers using AI, Martech, Media solutions in partnership with agency, partner ecosystem. Build an amazing and responsive Agency/Partner ecosystem to foster cutting edge AI and Martech solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India; Bangalore, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in advertising sales, digital marketing, consulting, or media. Experience in people management. Preferred qualifications: Experience in managing and developing sales teams to deliver results with a shared insight and purpose. Leadership experience in sales/operations management, strategic planning, and systems thinking, with the ability to align strategies and deliver customer business outcomes. Experience in managing media plans and activations for customers, AI driven products and solutions. Experience of Google Analytics, Google Marketing Platform, Ads Datahub or similar products. About the job Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Marketing Partners Team within LCS are Media, Creative, Tech, Content and Capability teams, who work together to grow our customers via skilled marketing partners (Media, Creative and AI/Tech agencies/partners) and super-charge Google’s growth in an engaged ecosystem with exceptional focus on incremental business. The Marketing Partners team helps customers transform and build what's meaningful for their businesses, in partnership with our cutting-edge media, creative, AI and Marketing Technology (MarTech) agencies and partners. Our teams are dedicated to helping our partners see the benefits of our products and technologies come to life. As part of an nimble team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the AI and Martech needs and define the future of their businesses. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Responsibilities Drive comprehensive adoption of Google products across Performance, Branding with Partner ecosystem to drive exception results for Customers. Drive adoption of Google data, analytics and measurement technologies across AI, Martech with the Partner ecosystem to drive exceptional results for Customers. Transform customers using AI, Martech, Media solutions in partnership with agency, partner ecosystem. Build an amazing and responsive Agency/Partner ecosystem to foster cutting edge AI and Martech solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India; Bangalore, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in advertising sales, digital marketing, consulting, or media. Experience in people management. Preferred qualifications: Experience in managing and developing sales teams to deliver results with a shared insight and purpose. Leadership experience in sales/operations management, strategic planning, and systems thinking, with the ability to align strategies and deliver customer business outcomes. Experience in managing media plans and activations for customers, AI driven products and solutions. Experience of Google Analytics, Google Marketing Platform, Ads Datahub or similar products. About the job Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Marketing Partners Team within LCS are Media, Creative, Tech, Content and Capability teams, who work together to grow our customers via skilled marketing partners (Media, Creative and AI/Tech agencies/partners) and super-charge Google’s growth in an engaged ecosystem with exceptional focus on incremental business. The Marketing Partners team helps customers transform and build what's meaningful for their businesses, in partnership with our cutting-edge media, creative, AI and Marketing Technology (MarTech) agencies and partners. Our teams are dedicated to helping our partners see the benefits of our products and technologies come to life. As part of an nimble team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the AI and Martech needs and define the future of their businesses. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Responsibilities Drive comprehensive adoption of Google products across Performance, Branding with Partner ecosystem to drive exception results for Customers. Drive adoption of Google data, analytics and measurement technologies across AI, Martech with the Partner ecosystem to drive exceptional results for Customers. Transform customers using AI, Martech, Media solutions in partnership with agency, partner ecosystem. Build an amazing and responsive Agency/Partner ecosystem to foster cutting edge AI and Martech solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Mumbai, Maharashtra, India; Bangalore, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in advertising sales, digital marketing, consulting, or media. Experience in people management. Preferred qualifications: Experience in managing and developing sales teams to deliver results with a shared insight and purpose. Leadership experience in sales/operations management, strategic planning, and systems thinking, with the ability to align strategies and deliver customer business outcomes. Experience in managing media plans and activations for customers, AI driven products and solutions. Experience of Google Analytics, Google Marketing Platform, Ads Datahub or similar products. About the job Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Marketing Partners Team within LCS are Media, Creative, Tech, Content and Capability teams, who work together to grow our customers via skilled marketing partners (Media, Creative and AI/Tech agencies/partners) and super-charge Google’s growth in an engaged ecosystem with exceptional focus on incremental business. The Marketing Partners team helps customers transform and build what's meaningful for their businesses, in partnership with our cutting-edge media, creative, AI and Marketing Technology (MarTech) agencies and partners. Our teams are dedicated to helping our partners see the benefits of our products and technologies come to life. As part of an nimble team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the AI and Martech needs and define the future of their businesses. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Responsibilities Drive comprehensive adoption of Google products across Performance, Branding with Partner ecosystem to drive exception results for Customers. Drive adoption of Google data, analytics and measurement technologies across AI, Martech with the Partner ecosystem to drive exceptional results for Customers. Transform customers using AI, Martech, Media solutions in partnership with agency, partner ecosystem. Build an amazing and responsive Agency/Partner ecosystem to foster cutting edge AI and Martech solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.