13 Cloud Spanner Jobs

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

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

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 :

GCP Data Architect GCP Certification (Either GCP Data Engineer or GCP Cloud Architect) 15+ years of experience in Architecting Data projects and knowledge of multiple ETL tools (like Informatica+ Talend+ DataStage+ etc.) 5+ experience in Data modeling and Data warehouse and Data lake implementation experience in implementing Teradata to Bigquery migration project Ability to identify and gather requirements to define a solution to be built and operated on GCP+ perform high-level and low-level design for the GCP platform Capabilities to implement and provide GCP operations and deployment guidance and best practices throughout the lifecycle of a project. 3+ Years of Strong experience in GCP technology areas of Data store+ Big Query+ Cloud storage+ Persistent disk IAM+ Roles+ Projects+ Organization. Databases including Big table+ Cloud SQL+ Cloud Spanner+ Memory store+ Data Analytics Data Flow+ DataProc+ Cloud Pub/Sub+ Kubernetes+ Docker+ managing containers+ container auto scaling and container security GCP technology areas of Data store+ Big Query+ Cloud storage+ Persistent disk IAM+ Roles+ Projects+ Organization. Databases including Big table+ Cloud SQL+ Cloud Spanner+ Memory store+ Data Analytics Data Flow+ DataProc+ Cloud Pub/Sub+ Kubernetes+ Docker+ managing containers+ container auto scaling and container security Experience in Design+ Deployment+ configuration and Integration of application infrastructure resources including GKE clusters+ Anthos+ APIGEE and DevOps Platform Application development concepts and technologies (e.g. CI/CD+ Java+ Python)