20 Cloud Spanner Jobs

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect - Data & AI About Genpact: Genpact (NYSE: G) is a global professional services firm delivering outcomes that transform businesses. With a proud 25-year history and over 125,000 diverse professionals in 30+ countries, we are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for our clients. We serve leading global enterprises, including the Fortune Global 500, leveraging our deep industry expertise, digital innovation, and cutting-edge capabilities in data, technology, and AI. Join our team to shape the future of business through intelligent operations and drive meaningful impact. The Opportunity: Genpact is seeking a highly accomplished and visionary Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect, specializing in Data and Artificial Intelligence. This pivotal role will be instrumental in driving Genpact%27s growth in the GCP ecosystem by leading complex pre-sales engagements, designing transformative data and AI solutions, and fostering executive-level client relationships. You will operate at the intersection of business strategy and cutting-edge technology, translating intricate client challenges into compelling, implementable solutions on Google Cloud. Responsibilities: . Executive Solutioning & Strategy: Lead the end-to-end technical pre-sales cycle for Genpact%27s most strategic data and AI opportunities on GCP. Engage at the CXO level and with senior business and IT stakeholders to deeply understand their strategic objectives, pain points, and competitive landscape. . Architectural Leadership: Design and articulate highly scalable, secure, and resilient enterprise-grade data and AI architectures on Google Cloud Platform. This includes expertise in BigQuery, Dataflow, Dataproc, Vertex AI (MLOps, Generative AI), Cloud AI services, Looker, Pub/Sub, Cloud Storage, Data Catalog, and other relevant GCP services. . Value Proposition & Storytelling: Develop and deliver highly impactful presentations, workshops, and proof-of-concepts (POCs) that clearly demonstrate the business value and ROI of Genpact%27s data and AI solutions on GCP. Craft compelling narratives that resonate with both technical and non-technical audiences. . Deal Ownership & Closure: Work collaboratively with sales teams to own the technical solutioning and commercial structuring of deals from qualification to closure. Lead the estimation, negotiation, and transition of deals to the delivery organization, ensuring alignment and seamless execution. . Technical Deep Dive & Expertise: Provide deep technical expertise on Google Cloud%27s Data & AI portfolio, staying at the forefront of new service offerings, product roadmaps, and competitive differentiators. Act as the subject matter expert in client discussions and internal enablement. . Cross-Functional Collaboration: Partner effectively with Genpact%27s sales, delivery, product development, and industry vertical teams to ensure that proposed solutions are innovative, deliverable, and aligned with market demands and Genpact%27s capabilities. . Thought Leadership: Contribute to Genpact%27s market presence and intellectual property through whitepapers, conference presentations, industry events, and client advisory sessions. Position Genpact as a leader in data-driven transformation on GCP. . Team Mentorship & Enablement: Provide mentorship and technical guidance to junior pre-sales architects and delivery teams, fostering a culture of continuous learning and excellence in GCP Data & AI. Qualifications we seek in you! Minimum Qualifications . progressive experience in data, analytics, artificial intelligence, and cloud technologies, with a strong focus on technical pre-sales, solution architecture, or consulting leadership roles. . hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. . Deep and demonstrable expertise across the Google Cloud Data & AI stack: o Core Data Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. o AI/ML Services: Vertex AI (including MLOps, Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow, Recommendation AI. o BI & Visualization: Looker, Data Studio. . Proven track record of successfully leading and closing multi-million dollar deals involving complex data and AI solutions on cloud platforms. . Exceptional executive presence with the ability to engage, influence, and build trusted relationships with C-level executives and senior stakeholders. . Strong commercial acumen and experience in structuring complex deals, including pricing models, risk assessment, and contract negotiation. . Outstanding communication, presentation, and storytelling skills, with the ability to articulate complex technical concepts into clear, concise business benefits. . Demonstrated ability to lead cross-functional teams and drive consensus in dynamic and ambiguous environments. . Bachelor%27s degree in Computer Science, Engineering, or a related technical field. Master%27s degree or MBA preferred. . Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). . Ability to travel as required to client sites and internal meetings. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Work Location: Bangalore/Pune/Hyderabad/ NCR Experience: 5-12yrs Required Skills: Proven experience as a Data Engineer with expertise in GCP. Strong understanding of data warehousing concepts and ETL processes. Experience with BigQuery, Dataflow, and other GCP data services Design, develop, and maintain data pipelines on GCP. Implement data storage solutions and optimize data processing workflows. Ensure data quality and integrity throughout the data lifecycle. Collaborate with data scientists and analysts to understand data requirements. Monitor and maintain the health of the data infrastructure. Troubleshoot and resolve data-related issues. Thanks & Regards Suganya R Suganya@spstaffing.in

More than 15 years of experience in Technical, Solutioning, and Analytical roles. 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Busines Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure) Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc. Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud. Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud. Experience of having worked with traditional ETL tools like Informatica / DataStage / OWB / Talend , etc. Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc. Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift. Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc. Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design. Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud. Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc. Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure. Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure. Role : Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. Interface with multiple stakeholders within IT and business to understand the data requirements. Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction. Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems. Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data. Mentor Young Talent within the Team, Define and track their growth parameters. Contribute to building Assets and Accelerators. Other Skills: Strong Communication and Articulation Skills. Good Leadership Skills. Should be a good team player. Good Analytical and Problem-solving skills.

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

GCP Engineer GCP developer should have the expertise on the components like Scheduler, DataFlow, BigQuery, Pub/Sub and Cloud SQL etc. Good understanding of GCP cloud environment/services (IAM, Networking, Pub/Sub, Cloud Run, Cloud Storage, Cloud SQL/PostgreSQL, Cloud Spanner etc) based on real migration projects Knowledge of Java / Java frameworks. Have leveraged/ worked with any or all technology areas like Spring boot, Spring batch, Spring boot cloud etc. Experience with API, Microservice design principles and leveraged them in actual project implementation for integration. Deep understanding of Architecture and Design Patterns Need to have knowledge of implementation of event-driven architecture, data integration, event streaming architecture, API driven architecture. Needs to be well versed with DevOps principal and need to have working experience in Docker/containerization. Experience in solution and execution of IaaS, PaaS, SaaS-based deployments, etc. Require conceptual thinking to create 'out of the box solutions Should be good in communication and should be able to handle both customer and development team to deliver an outcome. Mandatory Skills: App-Cloud-Google. Experience5-8 Years.

GCP Architect A Seasoned architect with a minimum of 12+ years and designing medium to large scale Application-to-Application integration requirements leveraging API, APIMs, ESB, product-based hybrid implementation.. Good understanding of GCP cloud environment/services (IAM, Networking, Pub/Sub, Cloud Run, Cloud Storage, Cloud SQL/PostgreSQL, Cloud Spanner etc) based on real migration projects Experience/Exposure for Openshift & PCF on GCP & DevSecOps will be an added advantage Ability to make critical solution design decisions Knowledge of Java / Java frameworks. Have leveraged/ worked with any or all technology areas like Spring boot, Spring batch, Spring boot cloud etc. Experience with API, Microservice design principles and leveraged them in actual project implementation for integration. Deep understanding of Architecture and Design Patterns Need to have knowledge of implementation of event-driven architecture, data integration, event streaming architecture, API driven architecture. Need to have an understanding and designed integration platform to meet the NFR requirements. Should have implemented design patterns like integrating with multiple COTS applications, integrations with multiple databases (SQL based and also NoSQL) Have worked with multiple teams to gather integration requirements, create Integration specification documents, map specifications, write high level and detailed designs, guiding the technical team for design and implementation. Needs to be well versed with DevOps principal and need to have working experience in Docker/containerization. Experience in solution and execution of IaaS, PaaS, SaaS-based deployments, etc. Require conceptual thinking to create 'out of the box solutions Should be good in communication and should be able to handle both customer and development team to deliver an outcome. Mandatory Skills: App-Cloud-Google. Experience8-10 Years.

About Newton School. Come be part of a rocketship that’s creating a massive impact in the world of education!. On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through it’s personalised learning platform. We are building an online Institute and solving the deep problem of employability of graduates.. Wehave a strong core team consisting of alumni from IIT's and IIM’s, having several years of industry experience in companies like Unacademy, Inmobi, Ola, Microsoft among others. On this mission, we are backed by some of the most respected investors around the world, RTP Global, Nexus Venture Partners and a slew of angel investors including CRED’s Kunal Shah, Flipkart’s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan’s Sujeet Kumar among others.. About The Role. We are looking for a highly skilled and experienced Database Management Systems (DBMS) SDE + Subject Matter Expert (DBMS) to join our team. This role is a perfect blend of technical leadership and mentoring. You’ll be contributing to cutting-edge web development projects while guiding and inspiring the next generation of software engineers. If you’re passionate about coding, solving complex problems, and helping others grow, this role is for you!. Key Responsibilities. Design and develop DBMS course content, lesson plans, and practical assignments.. Updated curriculum with the latest trends in database technologies.. Deliver lectures and hands-on sessions on relational models, SQL, NoSQL, normalization, and database design.. Use real-world examples to enhance student understanding of database concepts.. Teach advanced topics like query optimization, database security, data warehousing, and cloud databases.. Create and evaluate tests, quizzes, and projects to monitor student progress.. Provide constructive feedback and mentorship to support student growth.. Foster an engaging and collaborative classroom environment.. Assist students in resolving database-related issues during practical sessions.. Guide students on career paths in database management and related fields.. Share insights on industry tools such as MySQL, PostgreSQL, MongoDB, and Oracle.. Organize workshops, hackathons, and webinars for hands-on experience.. Collaborate with instructors and departments to integrate DBMS into interdisciplinary projects.. Adapt teaching strategies to accommodate various learning styles.. Qualifications & Experience:. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.. Minimum of 0-4 years experience in data engineering or database management.. Certifications such as Oracle DBA, Microsoft SQL Server, or AWS Certified Database Specialist are a plus.. Prior experience as an instructor, trainer, or tutor is preferred.. Technical Skills required :. Strong proficiency in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra).. Solid knowledge of SQL, PL/SQL, or T-SQL.. Skilled in database design, normalization, indexing, and performance tuning.. Familiarity with cloud-based databases like AWS RDS, Azure SQL, or Google Cloud Spanner.. Preferred Teaching Skills:. Experience using e-learning platforms such as Moodle, Blackboard, or Zoom.. Strong presentation and communication skills for simplifying complex concepts.. Passion for teaching, mentoring, and facilitating student success.. Soft Skills. Ability to motivate and engage learners across different levels.. Strong problem-solving and mentoring capabilities.. Committed to continuous learning and professional growth in the field of database management.. Why Join Us?. Work with Newton School of Technology in collaboration with Ajeenkya DY Patil University and Rishihood University — institutions at the forefront of reimagining tech education in India.. Be part of an initiative that's shaping the next generation of tech leaders through industry-integrated, hands-on learning.. Stay engaged with cutting-edge technologies while making a meaningful impact by mentoring and educating future professionals.. Enjoy a competitive salary and a comprehensive benefits package.. Thrive in a collaborative, innovative work culture based in Pune and Sonipat.. Show more Show less

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: 8+ years of experience in IT Industry Strong on programming languages like Python One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Req ID: 328302 We are currently seeking a AWS Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title: Digital Engineering Sr Associate NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Basic Qualifications 1 years' experience in AWS Infra Preferred Experience Excellent communication and collaboration skills. AWS certifications are preferred. Expertise in AWS cloud EC2, creating, Managing, Patching, trouble shooting. Good Knowledge on Access and Identity Management Monitoring Tools - CloudWatch (New Relic/other monitoring), logging AWS Storage "“ EBS, EFS, S3, Glacier, Adding the disk, extending the disk. AWS backup and restoration Strong understanding of networking concepts to create VPC, Subnets, ACL, Security Groups, and security best practices in cloud environments. Knowledge of PaaS to IaaS migration strategies Scripting experience (must be fluent in a scripting language such as Python) Detail-oriented self-starter capable of working independently. Knowledge of IaaC Terraform and best practice. Experience with container orchestration utilizing ECS, EKS, Kubernetes, or Docker Swarm Experience with one or more of the following Configuration Management ToolsAnsible, Chef, Salt, Puppet infrastructure, networking, AWS databases. Familiarity with containerization and orchestration tools, such as Docker and Kubernetes. Bachelor"™s degree in computer science or a related field Any of the AWS Associate Certifications GCP Knowledge Cloud IAM , Resource Manager , Multi-factor Authentication , Cloud KMS Cloud Billing , Cloud Console , Stackdriver Cloud SQL, Cloud Spanner SQL, Cloud Bigtable Cloud Run Container services, Kubernetes Engine (GKE) , Anthos Service Mesh , Cloud Functions , PowerShell on GCP Ideal Mindset Lifelong Learner. You are always seeking to improve your technical and nontechnical skills. Team Player. You are someone who wants to see everyone on the team succeed and is willing to go the extra mile to help a teammate in need. Listener. You listen to the needs of the customer and make those the priority throughout development.

Req ID: 328301 We are currently seeking a AWS Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title: Digital Engineering Sr Associate NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Basic Qualifications 1 years' experience in AWS Infra Preferred Experience Excellent communication and collaboration skills. AWS certifications are preferred. Expertise in AWS cloud EC2, creating, Managing, Patching, trouble shooting. Good Knowledge on Access and Identity Management Monitoring Tools - CloudWatch (New Relic/other monitoring), logging AWS Storage "“ EBS, EFS, S3, Glacier, Adding the disk, extending the disk. AWS backup and restoration Strong understanding of networking concepts to create VPC, Subnets, ACL, Security Groups, and security best practices in cloud environments. Knowledge of PaaS to IaaS migration strategies Scripting experience (must be fluent in a scripting language such as Python) Detail-oriented self-starter capable of working independently. Knowledge of IaaC Terraform and best practice. Experience with container orchestration utilizing ECS, EKS, Kubernetes, or Docker Swarm Experience with one or more of the following Configuration Management ToolsAnsible, Chef, Salt, Puppet infrastructure, networking, AWS databases. Familiarity with containerization and orchestration tools, such as Docker and Kubernetes. Bachelor"™s degree in computer science or a related field Any of the AWS Associate Certifications GCP Knowledge Cloud IAM , Resource Manager , Multi-factor Authentication , Cloud KMS Cloud Billing , Cloud Console , Stackdriver Cloud SQL, Cloud Spanner SQL, Cloud Bigtable Cloud Run Container services, Kubernetes Engine (GKE) , Anthos Service Mesh , Cloud Functions , PowerShell on GCP Ideal Mindset Lifelong Learner. You are always seeking to improve your technical and nontechnical skills. Team Player. You are someone who wants to see everyone on the team succeed and is willing to go the extra mile to help a teammate in need. Listener. You listen to the needs of the customer and make those the priority throughout development.

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: 8+ years of experience in IT Industry Strong on programming languages like Python One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Skill & Experience 15-18 year experience on JAVA is must with hands-on experience of architecting solutions using cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud in Pre-sales capability Experience in monolith to microservices modernization engagements Should have worked on multiple engagements related with Application assessment as part of Re-factoring/Containerization and Re-architecting cloud journeys Should have been part of large digital transformation project Experience building, architecting, designing, and implementing highly distributed global cloud-based systems. Experience in network infrastructure, security, data, or application development. Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on premise-to-cloud migration deployments and roadmaps. Architecting microservice/API Ability to deliver results and work cross-functionally. Ability to engage/influence audiences and identify expansion engagements Certification in Google Professional Cloud Architect is desirable Experience with Agile/SCRUM environment. Familiar with Agile Team management tools (JIRA, Confluence) Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment,Courage) Working with Docker, Openshift, GKE and Cloud Run Designing database in Oracle/Cloud SQL/Cloud Spanner Designing software which has low operational cost and cloud billing Contributing to building best practices and defining reference architecture

Skill & Experience Strategic Planning and Direction Maintain architecture principles, guidelines and standards Project & Program Management Data Warehousing Big Data Data Analytics &; Data Science for solutioning Expert in Big Query, Dataproc, Data Fusion, Dataflow, Bigtable, Fire Store, CloudSQL, Cloud Spanner, Google Cloud Storage, Cloud Composer, Cloud Interconnect, Etc Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands programming language like SQL, Python, R-Scala. Good Python skills, - Experience from data visualisation tools such as Google Data Studio or Power BI Knowledge in A/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Experience in designing & mplementing solution in mentioned areas:Strong Google Cloud Platform Data Components BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc

Google BigQuery Location- Pan India Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Key Responsibilities : Analyze and model client market and key performance data Use analytical tools and techniques to develop business insights and improve decisionmaking n1:Data Proc PubSub Data flow Kalka Streaming Looker SQL No FLEXn2:Proven track record of delivering data integration data warehousing solnn3: Strong SQL And Handson Pro in BigQuery SQL languageExp in Shell Scripting Python No FLEXn4:Exp with data integration and migration projects Oracle SQL Technical Experience : Google BigQuerynn1: Expert in Python NO FLEX Strong handson knowledge in SQL NO FLEX Python programming using Pandas NumPy deep understanding of various data structure dictionary array list tree etc experiences in pytest code coverage skillsn2: Exp with building solutions using cloud native services: bucket storage Big Query cloud function pub sub composer and Kubernetes NO FLEXn3: Pro with tools to automate AZDO CI CD pipelines like ControlM GitHub JIRA confluence CI CD Pipeline

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant - Lead Solution Architect, Google Cloud Platform Pre-Sales - Data & AI About Genpact: Genpact (NYSE: G) is a global professional services firm delivering outcomes that transform businesses. With a proud 25-year history and over 125,000 diverse professionals in 30+ countries, we are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for our clients. We serve leading global enterprises, including the Fortune Global 500, leveraging our deep industry expertise , digital innovation, and cutting-edge capabilities in data, technology, and AI. Join our vibrant team in India to shape the future of business through intelligent operations and drive meaningful impact. The Opportunity: Genpact India is expanding its Google Cloud Platform (GCP) capabilities and seeking a highly experienced and technically astute Senior Principal Consultant / Lead Solution Architect specializing in Data and Artificial Intelligence. This critical role will be at the forefront of Genpact%27s growth in the GCP ecosystem in India and globally, leading complex pre-sales engagements, designing transformative data and AI solutions, and fostering strong client relationships. You will operate as a trusted advisor, translating intricate client challenges into compelling, implementable solutions on Google Cloud. Responsibilities: Solution Architecture & Design Leadership: Lead the technical pre-sales process for complex data and AI opportunities on Google Cloud Platform / AWS / Azure (any 2) from initial discovery through to proposal and Statement of Work (SOW) development. Design and articulate highly scalable, secure, and resilient enterprise-grade data and AI architectures leveraging a wide array of GCP services / AWS / Azure services. (any 2) Client Engagement & Advisory: Engage deeply with prospective clients%27 senior IT and business stakeholders, including CXOs, to understand their strategic objectives , critical business challenges, and existing data landscape. Position Genpact%27s GCP / AWS / Azure Data & AI offerings as key enablers for their digital transformation journey. Technical Demonstrations & Workshops: Conduct impactful technical presentations, deep-dive workshops, and product demonstrations (including Proof-of-Concepts where required ) tailored to specific client needs, showcasing the advanced capabilities of GCP / AWS / Azure Data & AI services and Genpact%27s differentiated value. Proposal Development & Commercial Support: Take ownership of the technical sections of proposals, RFPs, and SOWs, ensuring accuracy, technical feasibility, clear value articulation, and alignment with Genpact%27s delivery capabilities. Provide robust technical estimation and sizing for proposed solutions. Sales & Delivery Collaboration: Partner closely with Genpact%27s sales teams to drive deal progression, providing technical guidance, competitive intelligence, and effective solution positioning. Collaborate with delivery teams to ensure proposed solutions are executable, scalable, and align with Genpact%27s operational excellence standards. Technology & Market Expertise: Maintain expert-level knowledge of the latest trends, services, and product roadmaps in Google Cloud Platform, AWS / Azure (any two) , Data Engineering, Machine Learning, Artificial Intelligence (including Generative AI), and relevant industry best practices. Thought Leadership & IP Contribution: Contribute to Genpact%27s intellectual property by developing reusable assets, solution accelerators, and participating in internal/external knowledge sharing, including whitepapers, blogs, and industry events. Mentorship & Capability Building: Mentor and guide junior architects and data engineers within the team, fostering a culture of technical excellence and continuous learning in Google Cloud Data & AI. Qualifications we seek in you! Minimum Qualifications progressive experience in technical roles within data analytics, data warehousing, business intelligence, machine learning, and artificial intelligence, with a significant portion in a client-facing pre-sales, solution architecture, or consulting capacity . hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. Deep and demonstrable expertise across the Google Cloud Data & AI stack: Core Data Services: BigQuery , Dataflow, Dataproc , Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. AI/ML Services: Vertex AI (including MLOps , Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow , Recommendation AI. BI & Visualization: Looker, Data Studio. Similar to above Google Cloud stack, need to have exposure to one other cloud data stack - either AWS or Azure Proven experience in translating complex business challenges into viable , scalable technical solutions on GCP, articulated with clear business value. Exceptional communication, presentation, and interpersonal skills, with the ability to engage, influence, and build rapport with diverse audiences from technical teams to senior business executives. Strong problem-solving, analytical, and strategic thinking abilities, with a commercial mindset. Experience in leading and contributing to large, complex deal pursuits in a competitive environment. Bachelor%27s degree in Computer Science , Engineering, or a related technical field. Master%27s degree preferred. Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). Ability to travel to client sites within India and potentially internationally as required . Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Summary We are looking for a seasoned Data Modeler / Data Analyst to design and implement scalable, reusable logical and physical data models on Google Cloud Platformprimarily BigQuery. You will partner closely with data engineers, analytics teams, and business stakeholders to translate complex business requirements into performant data models that power reporting, self-service analytics, and advanced data science workloads. Key Responsibilities Gather and analyze business requirements to translate them into conceptual, logical, and physical data models on GCP (BigQuery, Cloud SQL, Cloud Spanner, etc.). Design star/snowflake schemas, data vaults, and other modeling patterns that balance performance, flexibility, and cost. Implement partitioning, clustering, and materialized views in BigQuery to optimize query performance and cost efficiency. Establish and maintain data modelling standards, naming conventions, and metadata documentation to ensure consistency across analytic and reporting layers. Collaborate with data engineers to define ETL/ELT pipelines and ensure data models align with ingestion and transformation strategies (Dataflow, Cloud Composer, Dataproc, dbt). Validate data quality and lineage; work with BI developers and analysts to troubleshoot performance issues or data anomalies. Conduct impact assessments for schema changes and guide version-control processes for data models. Mentor junior analysts/engineers on data modeling best practices and participate in code/design reviews. Contribute to capacity planning and cost-optimization recommendations for BigQuery datasets and reservations. Must-Have Skills 6-8 years of hands-on experience in data modeling, data warehousing, or database design, including at least 2 years on GCP BigQuery. Proficiency in dimensional modeling, 3NF, and modern patterns such as data vault. Expert SQL skills with demonstrable ability to optimize complex analytical queries on BigQuery (partitioning, clustering, sharding strategies). Strong understanding of ETL/ELT concepts and experience working with tools such as Dataflow, Cloud Composer, or dbt. Familiarity with BI/reporting tools (Looker, Tableau, Power BI, or similar) and how model design impacts dashboard performance. Experience with data governance practices—data cataloging, lineage, and metadata management (e.g., Data Catalog). Excellent communication skills to translate technical concepts into business-friendly language and collaborate across functions. Good to Have Experience of working on Azure Cloud (Fabric, Synapse, Delta Lake) Education Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Statistics, or a related field. Equivalent experience will be considered.

Google BigQuery Location- Pan India Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Key Responsibilities : Analyze and model client market and key performance data Use analytical tools and techniques to develop business insights and improve decisionmaking \n1:Data Proc PubSub Data flow Kalka Streaming Looker SQL No FLEX\n2:Proven track record of delivering data integration data warehousing soln\n3: Strong SQL And Handson Pro in BigQuery SQL languageExp in Shell Scripting Python No FLEX\n4:Exp with data integration and migration projects Oracle SQL Technical Experience : Google BigQuery\n\n1: Expert in Python NO FLEX Strong handson knowledge in SQL NO FLEX Python programming using Pandas NumPy deep understanding of various data structure dictionary array list tree etc experiences in pytest code coverage skills\n2: Exp with building solutions using cloud native services: bucket storage Big Query cloud function pub sub composer and Kubernetes NO FLEX\n3: Pro with tools to automate AZDO CI CD pipelines like ControlM GitHub JIRA confluence CI CD Pipeline Professional Attributes :