9 Dataplex Jobs

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCPs Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog. Key Responsibilities Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services. Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability. Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions. Automate repetitive tasks and develop scripts to streamline operations and improve efficiency. Document infrastructure configurations, processes, and procedures. Qualifications Required: Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM. Experience with BigQuery and VertexAI Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with infrastructure as code tools such as Terraform or Google Deployment Manager. Strong communication and collaboration skills. Bachelor&aposs Degree in Computer Science or related discipline, or the equivalent in education and work experience Preferred Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer) Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

We are actively seeking a highly skilled and experienced GCP Data Engineer to join our client's team through Acme Services . This pivotal role requires very strong hands-on experience as a GCP Data Engineer with exceptional proficiency in SQL and PySpark . The ideal candidate will also possess solid experience with key GCP data services such as BigQuery, Dataform, Dataplex, and similar technologies . We are specifically looking for immediate joiners to currently serving candidates . Key Responsibilities Data Pipeline Development : Design, build, and maintain robust and scalable data pipelines on the Google Cloud Platform (GCP). SQL and PySpark Expertise : Utilize very strong expertise in SQL for data manipulation and querying, and PySpark for large-scale data processing and transformation. GCP Data Services Implementation : Work extensively with GCP data services including BigQuery for data warehousing, Dataform for data pipeline orchestration and governance, and Dataplex for data lake management and data governance. Data Modeling & Optimization : Implement efficient data models and optimize data workflows for performance and cost-effectiveness within the GCP ecosystem. Troubleshooting & Performance Tuning : Identify and resolve complex data-related issues, performing performance tuning on existing data processes. Collaboration : Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver integrated solutions. Skills Very strong hands-on experience as a GCP Data Engineer . Exceptional proficiency in SQL for complex data querying and manipulation. Very strong experience with PySpark for distributed data processing. Solid experience with BigQuery, Dataform, Dataplex , and other relevant GCP data services. Knowledge of data warehousing concepts and ETL/ELT processes. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Qualifications Bachelor's degree in Computer Science, Engineering, or a related quantitative field. Proven experience as a Data Engineer with a significant focus on GCP. Immediate joiners to currently serving candidates are highly preferred.

We are actively seeking a highly skilled and experienced GCP Data Engineer to join our client's team through Acme Services . This pivotal role requires very strong hands-on experience as a GCP Data Engineer with exceptional proficiency in SQL and PySpark . The ideal candidate will also possess solid experience with key GCP data services such as BigQuery, Dataform, Dataplex, and similar technologies . We are specifically looking for immediate joiners to currently serving candidates . Key Responsibilities Data Pipeline Development : Design, build, and maintain robust and scalable data pipelines on the Google Cloud Platform (GCP). SQL and PySpark Expertise : Utilize very strong expertise in SQL for data manipulation and querying, and PySpark for large-scale data processing and transformation. GCP Data Services Implementation : Work extensively with GCP data services including BigQuery for data warehousing, Dataform for data pipeline orchestration and governance, and Dataplex for data lake management and data governance. Data Modeling & Optimization : Implement efficient data models and optimize data workflows for performance and cost-effectiveness within the GCP ecosystem. Troubleshooting & Performance Tuning : Identify and resolve complex data-related issues, performing performance tuning on existing data processes. Collaboration : Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver integrated solutions. Skills Very strong hands-on experience as a GCP Data Engineer . Exceptional proficiency in SQL for complex data querying and manipulation. Very strong experience with PySpark for distributed data processing. Solid experience with BigQuery, Dataform, Dataplex , and other relevant GCP data services. Knowledge of data warehousing concepts and ETL/ELT processes. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Qualifications Bachelor's degree in Computer Science, Engineering, or a related quantitative field. Proven experience as a Data Engineer with a significant focus on GCP. Immediate joiners to currently serving candidates are highly preferred.

As an Experienced Senior Data Engineer at Adobe, you will utilize Big Data and Google Cloud technologies to develop large-scale, on-cloud data processing pipelines and data warehouses. Your role will involve consulting with customers worldwide on their data engineering needs around Adobe's Customer Data Platform and supporting pre-sales discussions regarding complex and large-scale cloud data engineering solutions. You will design custom solutions on cloud by integrating Adobe's solutions in a scalable and performant manner. Additionally, you will deliver complex, large-scale, enterprise-grade on-cloud data engineering and integration solutions in a hands-on manner. To be successful in this role, you should have a total of 12 to 15 years of experience, with 3 to 4 years of experience leading Data Engineer teams in developing enterprise-grade data processing pipelines on Google Cloud. You must have led at least one project of medium to high complexity involving the migration of ETL pipelines and Data warehouses to the cloud. Your recent 3 to 5 years of experience should be with premium consulting companies. Profound hands-on expertise with Google Cloud Platform services, especially BigQuery, Dataform, Dataplex, etc., is essential. Exceptional communication skills are crucial for effectively engaging with Data Engineers, Technology, and Business leadership. Furthermore, the ability to leverage knowledge of GCP to other cloud environments is highly desirable. It would be advantageous to have experience consulting with customers in India and possess multi-cloud expertise, with knowledge of AWS and GCP. At Adobe, creativity, curiosity, and continuous learning are valued qualities that contribute to your career growth journey. To pursue a new opportunity at Adobe, ensure to update your Resume/CV and Workday profile, including your unique Adobe experiences and volunteer work. Familiarize yourself with the Internal Mobility page on Inside Adobe to understand the process and set up job alerts for roles that interest you. Prepare for interviews by following the provided tips. Upon applying for a role via Workday, the Talent Team will contact you within 2 weeks. If you progress to the official interview process with the hiring team, inform your manager to support your career growth. At Adobe, you will experience an exceptional work environment recognized globally. You will collaborate with colleagues dedicated to mutual growth through the Check-In approach, where ongoing feedback is encouraged. If you seek to make an impact, Adobe is the ideal place for you. Explore employee career experiences on the Adobe Life blog and discover the meaningful benefits offered. For individuals with disabilities or special needs requiring accommodation to navigate the Adobe.com website or complete the application process, contact accommodations@adobe.com or call (408) 536-3015.,

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.

The ideal candidate will have extensive experience with Google Cloud Platform's data services, building scalable data pipelines, and implementing modern data architecture solutions. Key Responsibilities Design and implement data lake solutions using GCP Storage and Data Transfer Service Develop and maintain ETL/ELT pipelines for data processing and transformation Orchestrate complex data workflows using Cloud Composer (managed Apache Airflow) Build and optimize BigQuery data models and implement data governance practices Configure and maintain Dataplex for unified data management across our organization Implement monitoring solutions using Cloud Monitoring to ensure data pipeline reliability Create and maintain data visualization solutions using Looker for business stakeholders Collaborate with data scientists and analysts to deliver high-quality data products Required Skills & Experience 8+ years of hands-on experience with GCP data services including: Cloud Storage and Storage Transfer Service for data lake implementation BigQuery for data warehousing and analytics Cloud Composer for workflow orchestration Dataplex for data management and governance Cloud Monitoring for observability and alerting Strong experience with ETL/ELT processes and data pipeline development Proficiency in SQL and at least one programming language (Python preferred) Experience with Looker or similar BI/visualization tools Knowledge of data modeling and dimensional design principles Experience implementing data quality monitoring and validation Preferred Qualifications Google Cloud Professional Data Engineer certification Experience with streaming data processing using Dataflow or Pub/Sub Knowledge of data mesh or data fabric architectures Experience with dbt or similar transformation tools Familiarity with CI/CD practices for data pipelinesRole & responsibilities Preferred candidate profile

About the Role: Grade Level (for internal use): 09 The Team: Automotive Mastermind was founded on the idea that there are patterns in peoples behavior that, with the right logic, can be used to predict future outcomes.Our software helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale.Our culture is creative and entrepreneurial where everyone contributes to company goals in a very real way. We are a hardworking group, but we have a lot of fun with what we do and are looking for new people with a similar mindset to join the organization. The Impact: As a Quality Engineer you will collaborate with members of both, Product and Development Teams to help them make informed decisions on releases of one of the best tools there is for car dealerships in the United States. Whats in it for you: Possibility to work on a project in a very interesting domain - Automotive industry in the United States, and influence the quality of one of the best tools there is for car dealerships. Affect processes and tools used for Quality Engineering. Our Team has a high degree of autonomy in automotive Mastermind organization to decide what tools and processes we will use. Responsibilities: Own and be responsible for testing and delivery of product or core modules. Assessing the quality, usability and functionality of each release. Reviewing software requirement and capable in preparing test scenarios for complex business rules Interact with the stakeholders to understand the detailed requirements and expectations Be able to gain technical knowledge and aim to be a quality SME(s) in core functional components Developing and organizing QA Processes for assigned projects to align with overall QA goals Designing and implementing a test automation strategy supporting multiple product development teams Leading efforts for related automation projects, design and code reviews Producing regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audiences. What Were Looking For: Participate in and improve the whole lifecycle of servicesfrom inception and design, through deployment, operation, and refinement. Participate in the release planning process to review functional specifications and create release plans. Collaborate with software engineers to design verification test plans. Design regression test suites and review with engineering, applications and the field organization. Produce regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audience. Assess the quality, usability and functionality of each release. Develop and organize QA Processes for assigned projects to align with overall QA goals Lead and train a dynamically changing team of colleagues who participate in testing processes Exhibit expertise in handling large scale programs/projects that involve multiple stakeholders (Product, Dev, DevOps) Maintain a leading edge understanding of QA as related to interactive technologies best practices Design and implement test automation strategy for multiple product development teams at the onset of the project. Lead efforts for related automation projects, design and code reviews. Work closely with leadership and IT to provide input into the design and implementation of the automation framework. Work with Architecture, Engineering, Quality Engineering, IT, and Product Operations leaders to create and implement processes that accelerate the delivery of new features and products with high quality and at scale. Develop and contribute to a culture of high performance, transparency and continuous improvement as it relates to the infrastructure services and streamlining of the development pipeline. Participate in a diverse team of talented engineers globally, providing guidance, support and clear priorities. ? Who you are: Total Experience: 2 to 6 years. Hands on experience with at least 2 or more of leading testing tools/framework like Playwright, Robot Framework, K6, Jmeter. Hands on experience working on Python. Experience with Databases SQL/NoSQL. Experience working on CloudNative Applications. Hands on experience with Google Cloud Services like Kubernetes, Composer, Dataplex, Pub-Sub, BigQuery, AlloyDb, CloudSQL , lookerstudio etc. Strong analytical skills and ability to solve complex technical problems. API testing - must have understanding of RESTful design / best practices. Hands on experience testing APIs and test tools Experience with load / stress / performance testing and tools, Experience with Azure DevOps (or other similar issue/bug tracking systems) is required, Experience working with Cloud native applications. Ability to think abstract to ensure ability to not conform to the norm. Norms do not find bugs quickly, Experience working in an Agile software development organization, Experience supporting development and product teams Excellent verbal, written, and interpersonal communication skills; ability to interact with all levels of an organization Ability to work in an advisory capacity to identify key technical and business problems, develop and evaluate. Grade: 08 / 09 Job Location: Gurugram Hybrid Mode: twice a week work from office. Shift Time: 12 pm to 9 pm IST.

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.

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 3 - 20 Yrs Location- Pan India Job Description : - Skills: GCP, BigQuery, Cloud Composer, Cloud DataFusion, Python, SQL 5-20 years of overall experience mainly in the data engineering space, 2+ years of Hands-on experience in GCP cloud data implementation, Experience of working in client facing roles in technical capacity as an Architect. must have implementation experience of GCP based clous Data project/program as solution architect, Proficiency of using Google Cloud Architecture Framework in Data context Expert knowledge and experience of core GCP Data stack including BigQuery, DataProc, DataFlow, CloudComposer etc. Exposure to overall Google tech stack of Looker/Vertex-AI/DataPlex etc. Expert level knowledge on Spark.Extensive hands-on experience working with data using SQL, Python Strong experience and understanding of very large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms. (Both Cloud and On-Premise) Excellent communications skills with the ability to clearly present ideas, concepts, and solutions If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in or you can reach me @ 8939853050 With Regards, Sankar G Sr. Executive - IT Recruitment