216 Cloud Sql Jobs - Page 2

Overview of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world&aposs leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role As a Data Engineer specializing in AI/ML, you&aposll be instrumental in designing, building, and maintaining the data infrastructure crucial for training, deploying, and serving our advanced AI and Machine Learning models. You&aposll work closely with Data Scientists, ML Engineers, and Cloud Architects to ensure data is accessible, reliable, and optimized for high-performance AI/ML workloads, primarily within the Google Cloud ecosystem. Responsibilities Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient ETL/ELT data pipelines to ingest, transform, and load data from various sources into data lakes and data warehouses, specifically optimized for AI/ML consumption. AI/ML Data Infrastructure: Architect and implement the underlying data infrastructure required for machine learning model training, serving, and monitoring within GCP environments. Google Cloud Ecosystem: Leverage a broad range of Google Cloud Platform (GCP) data services including, BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Vertex AI, Composer (Airflow), and Cloud SQL. Data Quality & Governance: Implement best practices for data quality, data governance, data lineage, and data security to ensure the reliability and integrity of AI/ML datasets. Performance Optimization: Optimize data pipelines and storage solutions for performance, cost-efficiency, and scalability, particularly for large-scale AI/ML data processing. Collaboration with AI/ML Teams: Work closely with Data Scientists and ML Engineers to understand their data needs, prepare datasets for model training, and assist in deploying models into production. Automation & MLOps Support: Contribute to the automation of data pipelines and support MLOps initiatives, ensuring seamless integration from data ingestion to model deployment and monitoring. Troubleshooting & Support: Troubleshoot and resolve data-related issues within the AI/ML ecosystem, ensuring data availability and pipeline health. Documentation: Create and maintain comprehensive documentation for data architectures, pipelines, and data models. Qualifications 1-2+ years of experience in Data Engineering, with at least 2-3 years directly focused on building data pipelines for AI/ML workloads. Deep, hands-on experience with core GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Composer/Airflow. Strong proficiency in at least one relevant programming language for data engineering (Python is highly preferred).SQL skills for complex data manipulation, querying, and optimization. Solid understanding of data warehousing concepts, data modeling (dimensional, 3NF), and schema design for analytical and AI/ML purposes. Proven experience designing, building, and optimizing large-scale ETL/ELT processes. Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and concepts. Exceptional analytical and problem-solving skills, with the ability to design solutions for complex data challenges. Excellent verbal and written communication skills, capable of explaining complex technical concepts to both technical and non-technical stakeholders. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. Show more Show less

About The Role : Job Title Technical-Specialist Big Data (PySpark) Developer LocationPune, India Role Description This role is for Engineer who is responsible for design, development, and unit testing software applications. The candidate is expected to ensure good quality, maintainable, scalable, and high performing software applications getting delivered to users in an Agile development environment. Candidate / Applicant should be coming from a strong technological background. The candidate should have goo working experience in Python and Spark technology. Should be hands on and be able to work independently requiring minimal technical/tool guidance. Should be able to technically guide and mentor junior resources in the team. As a developer you will bring extensive design and development skills to enforce the group of developers within the team. The candidate will extensively make use and apply Continuous Integration tools and practices in the context of Deutsche Banks digitalization journey. What well offer you . 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design and discuss your own solution for addressing user stories and tasks. Develop and unit-test, Integrate, deploy, maintain, and improve software. Perform peer code review. Actively participate into the sprint activities and ceremonies e.g., daily stand-up/scrum meeting, Sprint planning, retrospectives, etc. Apply continuous integration best practices in general (SCM, build automation, unit testing, dependency management) Collaborate with other team members to achieve the Sprint objectives. Report progress/update Agile team management tools (JIRA/Confluence) Manage individual task priorities and deliverables. Responsible for quality of solutions candidate / applicant provides. Contribute to planning and continuous improvement activities & support PO, ITAO, Developers and Scrum Master. Your skills and experience Engineer with Good development experience in Big Data platform for at least 5 years. Hands own experience in Spark (Hive, Impala). Hands own experience in Python Programming language. Preferably, experience in BigQuery , Dataproc , Composer , Terraform , GKE , Cloud SQL and Cloud functions. Experience in set-up, maintenance, and ongoing development of continuous build/ integration infrastructure as a part of DevOps. Create and maintain fully automated CI build processes and write build and deployment scripts. Has experience with development platformsOpenShift/ Kubernetes/Docker configuration and deployment with DevOps tools e.g., GIT, TeamCity, Maven, SONAR Good Knowledge about the core SDLC processes and tools such as HP ALM, Jira, Service Now. Strong analytical skills. Proficient communication skills. Fluent in English (written/verbal). Ability to work in virtual teams and in matrixed organizations. Excellent team player. Open minded and willing to learn business and technology. Keeps pace with technical innovation. Understands the relevant business area. Ability to share information, transfer knowledge to expertise the team members. How well support you . . . .

About The Role : Job TitleSenior Engineer PD, AVP LocationPune, India Role Description Our team is part of the area Technology, Data, and Innovation (TDI) Private Bank. Within TDI, Partner data is the central client reference data system in Germany. As a core banking system, many banking processes and applications are integrated and communicate via >2k interfaces. From a technical perspective, we focus on mainframe but also build solutions on premise cloud, restful services, and an angular frontend. Next to the maintenance and the implementation of new CTB requirements, the content focus also lies on the regulatory and tax topics surrounding a partner/ client. We are looking for a very motivated candidate for the Cloud Data Engineer area. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities You are responsible for the implementation of the new project on GCP (Spark, Dataproc, Dataflow, BigQuery, Terraform etc) in the whole SDLC chain You are responsible for the support of the migration of current functionalities to Google Cloud You are responsible for the stability of the application landscape and support software releases You also support in L3 topics and application governance You are responsible in the CTM area for coding as part of an agile team (Java, Scala, Spring Boot) Your skills and experience You have experience with databases (BigQuery, Cloud SQl, No Sql, Hive etc.) and development preferably for Big Data and GCP technologies Strong understanding of Data Mesh Approach and integration patterns Understanding of Party data and integration with Product data Your architectural skills for big data solutions, especially interface architecture allows a fast start You have experience in at leastSpark, Java ,Scala and Python, Maven, Artifactory, Hadoop Ecosystem, Github Actions, GitHub, Terraform scripting You have knowledge in customer reference data, customer opening processes and preferably regulatory topics around know your customer processes You can work very well in teams but also independent and are constructive and target oriented Your English skills are good and you can both communicate professionally but also informally in small talks with the team How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Join GlobalLogic as a valuable member of the team working on a significant software project for a world-class company that provides M2M / IoT 4G/5G modules to industries such as automotive, healthcare, and logistics. Your engagement will involve contributing to the development of end-user modules" firmware, implementing new features, maintaining compatibility with the latest telecommunication and industry standards, and analyzing and estimating customer requirements. Requirements - BA / BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience. - Proficiency in Cloud SQL and Cloud Bigtable. - Experience with Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub / Sub, and Genomics. - Familiarity with Google Transfer Appliance, Cloud Storage Transfer Service, and BigQuery Data Transfer. - Knowledge of data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and data processing algorithms (MapReduce, Flume). - Previous experience working with technical customers. - Proficiency in writing software in languages like Java or Python. - 6-10 years of relevant consulting, industry, or technology experience. - Strong problem-solving and troubleshooting skills. - Excellent communication skills. Job Responsibilities - Hands-on experience working with data warehouses, including technical architectures, infrastructure components, ETL / ELT, and reporting / analytic tools. - Experience in technical consulting. - Proficiency in architecting and developing software or internet-scale Big Data solutions in virtualized environments like Google Cloud Platform (mandatory) and AWS / Azure (good to have). - Familiarity with big data, information retrieval, data mining, machine learning, and building high availability applications with modern web technologies. - Working knowledge of ITIL and / or agile methodologies. - Google Data Engineer certification. What We Offer - Culture of caring: Prioritize a culture of caring, where people come first, fostering an inclusive environment of acceptance and belonging. - Learning and development: Commitment to continuous learning and growth, offering various programs, training curricula, and hands-on opportunities for personal and professional advancement. - Interesting & meaningful work: Engage in impactful projects that allow for creative problem-solving and exploration of new solutions. - Balance and flexibility: Embrace work-life balance with diverse career areas, roles, and work arrangements to support personal well-being. - High-trust organization: Join a high-trust organization with a focus on integrity, trustworthiness, and ethical practices. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with forward-thinking companies to create innovative digital products and experiences. Join the team in transforming businesses and industries through intelligent products, platforms, and services, contributing to cutting-edge solutions that shape the world today.,

As a Google Cloud Engineer at our company, you will play a crucial role in designing, building, deploying, and maintaining our cloud infrastructure and applications on Google Cloud Platform (GCP). Your collaboration with development, operations, and security teams will ensure that our cloud environment is scalable, secure, highly available, and cost-optimized. If you are enthusiastic about cloud-native technologies, automation, and overcoming intricate infrastructure challenges, we welcome you to apply. Your responsibilities will include: - Designing, implementing, and managing robust, scalable, and secure cloud infrastructure on GCP utilizing Infrastructure as Code (IaC) tools like Terraform. - Deploying, configuring, and managing core GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud SQL, Cloud Storage, Cloud Functions, BigQuery, Pub/Sub, and networking components. - Developing and maintaining CI/CD pipelines for automated deployment and release management using various tools. - Implementing and enforcing security best practices within the GCP environment, including IAM, network security, data encryption, and compliance adherence. - Monitoring cloud infrastructure and application performance, identifying bottlenecks, and implementing optimization solutions. - Troubleshooting and resolving complex infrastructure and application issues in production and non-production environments. - Collaborating with development teams to ensure cloud-native deployment, scalability, and resilience of applications. - Participating in on-call rotations for critical incident response and timely resolution of production issues. - Creating and maintaining comprehensive documentation for cloud architecture, configurations, and operational procedures. - Keeping up-to-date with new GCP services, features, and industry best practices to propose and implement improvements. - Contributing to cost optimization efforts by identifying and implementing efficiencies in cloud resource utilization. We require you to have: - A Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. - 6+ years of experience with C#, .NET Core, .NET Framework, MVC, Web API, Entity Framework, and SQL Server. - 3+ years of experience with cloud platforms, preferably GCP, including designing and deploying cloud-native applications. - 3+ years of experience with source code management, CI/CD pipelines, and Infrastructure as Code. - Strong experience with Javascript and a modern Javascript framework, with VueJS preferred. - Proven leadership and mentoring skills with development teams. - Strong understanding of microservices architecture and serverless computing. - Experience with relational databases like SQL Server and PostgreSQL. - Excellent problem-solving, analytical, and communication skills, along with Agile/Scrum environment experience. What can make you stand out: - GCP Cloud Certification. - UI development experience with HTML, JavaScript, Angular, and Bootstrap. - Agile environment experience with Scrum, XP. - Relational database experience with SQL Server, PostgreSQL. - Proficiency in Atlassian tools like JIRA, Confluence, and Github. - Working knowledge of Python and exceptional problem-solving and analytical abilities, along with strong teamwork skills.,

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. We are seeking a Principal Data Engineer with over 10 years of experience. In this high-impact role, you will be responsible for defining and driving the data architecture strategy, guiding technical teams, and ensuring robust, scalable, and secure database systems that support business-critical applications. You will work autonomously and directly with stakeholders across engineering, infrastructure, and product leadership, influencing decisions related to GCP Cloud SQL, GKE, relational and non-relational databases (including Cassandra and Couchbase), while also managing complex database challenges. Key Responsibilities: - Define and lead the overall data architecture strategy across cloud and hybrid environments, in alignment with business and technical goals. - Collaborate directly with leadership to drive key architectural decisions. - Provide deep, hands-on expertise in GCP Cloud SQL and containerized database deployment using Google Kubernetes Engine (GKE). - Architect and optimize relational database solutions using PostgreSQL, MySQL, and MS SQL Server. - Design and implement NoSQL data solutions including Cassandra, Couchbase, and other scalable data stores. - Lead end-to-end planning and execution of complex data engineering tasks, including schema design, performance tuning, high availability, and disaster recovery. - Handle and coordinate P1 incident responses, conducting root cause analysis and designing long-term mitigation plans. - Guide and mentor internal database teams, fostering technical quality and architectural consistency. - Automate database provisioning, scaling, and maintenance using modern DevOps and infrastructure-as-code tools. - Provide architectural documentation and recommendations for scalability, security, compliance, and cost efficiency. Skills: - 10+ years of experience in data engineering and architecture, including hands-on cloud and database infrastructure leadership. - Proven expertise in Google Cloud Platform (GCP) especially Cloud SQL and GKE. - Strong hands-on background in relational databases: PostgreSQL, MySQL, MS SQL Server - Deep knowledge and implementation experience with NoSQL technologies: Cassandra, Couchbase, [optionally MongoDB, Redis, etc.] - Experience in independent or consulting roles, capable of working with minimal supervision and maximum ownership. - Proven ability to manage and resolve high-severity incidents and communicate resolution paths to leadership. - Strong scripting and automation skills (e.g., Python, Terraform, Bash). - Familiarity with CI/CD, container orchestration, and observability practices for modern data infrastructure. - Background in supporting data compliance, governance, and cost optimization in cloud environments. Why Join Us: - Work with a team that values deep security thinking over checkbox compliance. - Experiment with tools, techniques, and platforms to continuously simulate, validate, and improve. - Collaborate across teams that respect security as a partner, not a blocker. - Build scalable security strategies in a growing, tech-driven organization. Experience: - 10+ Years,

As a GCP Senior Data Engineer/Architect, you will play a crucial role in our team by designing, developing, and implementing robust and scalable data solutions on the Google Cloud Platform (GCP). Collaborating closely with Architects and Business Analysts, especially for our US clients, you will translate data requirements into effective technical solutions. Your responsibilities will include designing and implementing scalable data warehouse and data lake solutions, orchestrating complex data pipelines, leading cloud data lake implementation projects, participating in cloud migration projects, developing containerized applications, optimizing SQL queries, writing automation scripts in Python, and utilizing various GCP data services such as BigQuery, Bigtable, and Cloud SQL. Your expertise in data warehouse and data lake design and implementation, experience in data pipeline development and tuning, hands-on involvement in cloud migration and data lake projects, proficiency in Docker and GKE, strong SQL and Python scripting skills, and familiarity with GCP services like BigQuery, Cloud SQL, Dataflow, and Composer will be essential for this role. Additionally, knowledge of data governance principles, experience with dbt, and the ability to work effectively within a team and adapt to project needs are highly valued. Strong communication skills, the willingness to work in UK shift timings, and the openness to giving and receiving feedback are important traits that will contribute to your success in this role.,

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

Salary: 20 to 35 LPA Exp: 3 to 7 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Agile Project Management Good to have skills : Apache SparkMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in ensuring that data is accessible, reliable, and ready for analysis, contributing to informed decision-making across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering practices.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Agile Project Management.- Good To Have Skills: Experience with Apache Spark, Google Cloud SQL, Python (Programming Language).- Strong understanding of data pipeline architecture and design principles.- Experience with ETL tools and data integration techniques.- Familiarity with data quality frameworks and best practices. Additional Information:- The candidate should have minimum 7.5 years of experience in Agile Project Management.- This position is based in Chennai (Mandatory).- A 15 years full time education is required. Qualification 15 years full time education

Job Profile: Senior SQL Cloud Database Administrator (DBA) position. Responsibilities: - Managing, optimizing, and securing our cloud-based SQL databases, ensuring high availability and performance. - Design and implement scalable and secure SQL database structures in AWS and GCP environments. - Plan and execute data migration from on-premises or legacy systems to AWS and GCP cloud platforms. - Monitor database performance, identify bottlenecks, and fine-tune queries and indexes for optimal efficiency. - Implement and manage database security protocols, including encryption, access controls, and compliance with regulations. - Develop and maintain robust backup and recovery strategies to ensure data integrity and availability. - Perform regular maintenance tasks such as patching, updates, and troubleshooting database issues. - Work closely with developers, DevOps, and data engineers to support application development and deployment. - Ensure data quality, consistency, and governance across distributed systems. - Keep up with emerging technologies, cloud services, and best practices in database management. Required Skills: - Proven experience as a SQL Database Administrator with expertise in AWS and GCP cloud platforms. - Strong knowledge of SQL database design, implementation, and optimization. - Experience with data migration to cloud environments. - Proficiency in performance monitoring and query optimization. - Knowledge of database security protocols and compliance regulations. - Familiarity with backup and disaster recovery strategies. - Excellent troubleshooting and problem-solving skills. - Strong collaboration and communication skills. - Knowledge of DevOps integration.

Salary: 20 to 35 LPA Exp: 3 to 7 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.

Entity: Google Cloud Architect Experience on GCP architecture, landing zone and foundation design and implementation. Experience in GCVE Experience creating infrastructure using Terraform. Experience in writing modules and resources and automating resource creation using cloud build. Experience in GCP services like VPC network, firewalls, compute engine, app engine, Kubernetes engine, cloud SQL, Cloud storage, filestore, monitoring, and logging. Experience in establishing hybrid connectivity from on-prem to GCP (including VPN and Interconnect) Experience with DevOps practices and Infrastructure-as-Code (IaC) scripts Experience with Observability / Logging & Monitoring Experience with designing and implementing infrastructure components such as Kubernetes (GKE) Design and delivery of backup and DR (BDR) solution in GCP Experience with database modernization (CloudSQL) Understanding of GCP networking Data Platform Architect Proven experience as a Data Architect, with a focus on hyperscalers (AWS, GCP) Strong understanding of GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, and Pub/Sub. Experience with data modeling, ETL processes, and data warehousing. Experience with data cataloging, classification, labeling, sensitive data inspection and redaction and Data Loss Prevention (DLP) on GCP. Knowledge of security best practices and regulatory compliance. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong leadership and collaboration skills Data Center Architect Data Center Design: Develop and implement comprehensive data center solutions, including server, storage, network, and infrastructure components. Ensure scalability, performance, and reliability to meet business needs. Infrastructure Planning & Optimization: Assess existing infrastructure, identify areas of improvement, and design solutions that enhance performance, availability, and scalability while reducing operational costs. Technology Integration: Lead the integration of cloud services, virtualization technologies, and on-premise systems, ensuring seamless operations across multiple platforms and regions. Security & Compliance: Ensure that data center designs adhere to the latest security standards, policies, and regulatory compliance (e.g., ISO, PCI DSS, GDPR). Perform vulnerability assessments and recommend security enhancements. Disaster Recovery & High Availability: Design and implement disaster recovery (DR) and business continuity solutions to minimize downtime and data loss. Ensure systems are highly available and resilient. Capacity Planning: Analyze workload trends and performance data to ensure the data center can meet future demand. Provide recommendations on hardware and software upgrades to support growth. Collaboration & Leadership: Work closely with various teams, including IT operations, network engineers, cloud architects, and third-party vendors, to ensure the data center infrastructure aligns with business objectives. Documentation & Compliance: Maintain detailed documentation of the data center architecture, configurations, and processes. Ensure designs are audit-ready and compliant with industry standards. Network Architect Network Design & Architecture: Design, develop, and implement scalable and secure network solutions, including LAN, WAN, VPN, and cloud networking. Evaluate the current network setup and recommend improvements to enhance performance, security, and cost-efficiency. Develop detailed network blueprints and architectural models to support business requirements and future scalability. Technology Integration & Innovation: Integrate new networking technologies (such as SDN, SD-WAN, cloud networking) with legacy systems while ensuring optimal performance. Lead the adoption of emerging technologies to improve network automation, monitoring, and operational efficiency. Collaborate with cloud architects to ensure seamless hybrid cloud network integration. Network Security: Design and enforce security protocols, including firewalls, encryption, access control, and network segmentation, to protect against cyber threats. Ensure that network designs comply with industry standards and regulatory requirements (e.g., PCI DSS, ISO 27001, GDPR). Capacity Planning & Scalability: Analyze network traffic patterns, usage, and performance to predict future capacity needs and plan for expansion. Implement strategies to optimize network performance during peak times and reduce latency. Disaster Recovery & High Availability: Design and implement disaster recovery solutions and high-availability architectures to ensure minimal downtime and uninterrupted network operations. Develop failover strategies and redundancy plans for critical systems and applications. Collaboration & Leadership: Collaborate with IT, security, and cloud teams to ensure network architecture aligns with organizational goals. Act as a technical lead, guiding network engineers and support teams in troubleshooting, deployment, and maintenance. Engage with stakeholders to understand business needs and translate them into technical network requirements. Documentation & Compliance: Create and maintain detailed documentation of the network architecture, including diagrams, configurations, and operational procedures. Ensure the network design is compliant with industry standards and organizational policies.

GCP- Certified, Designing and Architecture, GCP services (Compute Engine, GKE, Cloud SQL, BigQuery, etc.) containers and orchestration Terraform, Cloud Build, Cloud Functions, or other GCP-native tools IAM, VPCs, firewall rules, service accounts, and Cloud Identity Grafana any Monitoring tool Role & responsibilities Preferred candidate profile

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. For the role at 66degrees, we are seeking a senior contractor to engage in a 2.5-month remote assignment with the potential to extend. Candidates with the required skills and the ability to work independently as well as within a team environment are encouraged to apply. As part of the responsibilities, you will be expected to facilitate, guide, and influence the client and teams towards an effective architectural pattern. You will serve as an interface between business leadership, technology leadership, and the delivery teams. Your role will involve performing Migration Assessments and producing Migration Plans that include Total Cost of Ownership (TCO), Migration Architecture, Migration Timelines, and Application Waves. Additionally, you will be responsible for designing a solution architecture on Google Cloud to support critical workloads. This will include Heterogeneous Oracle Migrations to Postgres or Spanner. You will need to design a migration path that accounts for the conversion of Application Dependencies, Database objects, Data, Data Pipelines, Orchestration, Users and Security. You will oversee migration activities and provide troubleshooting support, including translation of DDL and DML, executing data transfers using native Google Cloud and 3rd party tools, and setting up and configuring relative Google Cloud components. Furthermore, you will engage with customer teams as a Google Cloud expert to provide Education Workshops, Architectural Recommendations, and Technology reviews and recommendations. Qualifications: - 5+ years of experience with data engineering, cloud architecture, or working with data infrastructure. - 5+ years of Oracle database management and IT experience. - Experience with Oracle Database adjacent products like Golden Gate and Data Guard. - 3+ years of PostgreSQL experience. - Proven experience in performing performance testing and applying remediations to address performance issues. - Experience in designing data models. - Proficiency in Python programming language and SQL. - Advanced SQL skills, including the ability to write, tune, and interpret SQL queries; tool-specific experience in the database platforms listed above is ideal. - Proven experience in migrating and/or implementing cloud databases like Cloud SQL, Spanner, and Bigtable. Desired Skills: - Google Cloud Professional Architect and/or Data Engineer Certification is preferred. 66degrees is committed to protecting your privacy. Your personal information is collected, used, and shared in accordance with the California Consumer Privacy Act (CCPA).,

Comprehensive understanding of BGPConfigure and troubleshoot in large global environments. Comprehensive understanding of routing conceptsInter-VR routing, policy-based routing, routing protocols, route filtering, path selection, access-lists etc. Comprehensive understanding of switching conceptsVLANs, Layer 2, Mac-forwarding, vlan trunking, VRRP, Gratuitous ARP. Comprehensive understanding of firewall/security conceptsL2-L7, all versions of NAT, failover scenarios, zonal concepts, IPSec, L7 encryption concepts, URL filtering, DNS, security profiles and rules, proxying. Comprehensive understanding of Load Balancing conceptsCloud LB and conventional LB and their differences in functionality. Good understanding of Public Cloud platformsPreferably GCP; specifically Networking, Firewalling, IAM and how they relate to Cloud Native services (PSA, Cloud SQL, GCVE, Cloud Interconnects, BMS, FileStore, Netapp, etc). Good understanding of Infrastructure as Code (IAC) to provision resourcesMust be able to customize and optimize the codebase to simplify deliveries. Good understanding of Linux administrationUsing Linux to bridge technical gaps in Windows and understanding the tools available to troubleshoot network connectivity. Understanding of APIsin order to expedite data collection and configuration to eliminate human error. Understanding of DevOpshow it can improve delivery and operation. Primary Skills Skills Required Network Security, Switches, Router, firewalls, and cloud. Products JuniperMX, SRX, QFX Palo AltoPhysical and virtual firewalls, Panorama. Tools Terraform Algosec or similar tool for traffic flow governance. Mandatory languages Python HCL (HashiCorp Configuration Language)

" PLEASE READ THE JOB DESTCRIPTION AND APPLY" Data Engineer Job Description Position Overview Yesterday is history, tomorrow is a mystery, but today is a gift. That's why we call it the present. - Master Oogway Join CustomerLabs' dynamic data team as a Data Engineer and play a pivotal role in transforming raw marketing data into actionable insights that power our digital marketing platform. As a key member of our data infrastructure team, you will design, develop, and maintain robust data pipelines, data warehouses, and analytics platforms that serve as the backbone of our digital marketing product development. Sometimes the hardest choices require the strongest wills. - Thanos (but we promise, our data decisions are much easier! ) In this role, you will collaborate with cross-functional teams including Data Scientists, Product Managers, and Marketing Technology specialists to ensure seamless data flow from various marketing channels, ad platforms, and customer touchpoints to our analytics dashboards and reporting systems. You'll be responsible for building scalable, reliable, and efficient data solutions that can handle high-volume marketing data processing and real-time campaign analytics. What You'll Do: - Design and implement enterprise-grade data pipelines for marketing data ingestion and processing - Build and optimize data warehouses and data lakes to support digital marketing analytics - Ensure data quality, security, and compliance across all marketing data systems - Create data models and schemas that support marketing attribution, customer journey analysis, and campaign performance tracking - Develop monitoring and alerting systems to maintain data pipeline reliability for critical marketing operations - Collaborate with product teams to understand digital marketing requirements and translate them into technical solutions Why This Role Matters: I can do this all day. - Captain America (and you'll want to, because this role is that rewarding!) You'll be the backbone behind the data infrastructure that powers CustomerLabs' digital marketing platform, making marketers' lives easier and better. Your work directly translates to smarter automation, clearer insights, and more successful campaigns - helping marketers focus on what they do best while we handle the complex data heavy lifting. Sometimes you gotta run before you can walk. - Iron Man (and sometimes you gotta build the data pipeline before you can analyze the data! ) Our Philosophy: We believe in the power of data to transform lives, just like the Dragon Warrior transformed the Valley of Peace. Every line of code you write, every pipeline you build, and every insight you enable has the potential to change how marketers work and succeed. We're not just building data systems - we're building the future of digital marketing, one insight at a time. Your story may not have such a happy beginning, but that doesn't make you who you are. It is the rest of your story, who you choose to be. - Soothsayer What Makes You Special: We're looking for someone who embodies the spirit of both Captain America's unwavering dedication and Iron Man's innovative genius. You'll need the patience to build robust systems (like Cap's shield ) and the creativity to solve complex problems (like Tony's suit). Most importantly, you'll have the heart to make a real difference in marketers' lives. Inner peace... Inner peace... Inner peace... - Po (because we know data engineering can be challenging, but we've got your back! ) Key Responsibilities Data Pipeline Development - Design, build, and maintain robust, scalable data pipelines and ETL/ELT processes - Develop data ingestion frameworks to collect data from various sources (databases, APIs, files, streaming sources) - Implement data transformation and cleaning processes to ensure data quality and consistency - Optimize data pipeline performance and reliability Data Infrastructure Management - Design and implement data warehouse architectures - Manage and optimize database systems (SQL and NoSQL) - Implement data lake solutions and data governance frameworks - Ensure data security, privacy, and compliance with regulatory requirements Data Modeling and Architecture - Design and implement data models for analytics and reporting - Create and maintain data dictionaries and documentation - Develop data schemas and database structures - Implement data versioning and lineage tracking Data Quality, Security, and Compliance - Ensure data quality, integrity, and consistency across all marketing data systems - Implement and monitor data security measures to protect sensitive information - Ensure privacy and compliance with regulatory requirements (e.g., GDPR, CCPA) - Develop and enforce data governance policies and best practices Collaboration and Support - Work closely with Data Scientists, Analysts, and Business stakeholders - Provide technical support for data-related issues and queries Monitoring and Maintenance - Implement monitoring and alerting systems for data pipelines - Perform regular maintenance and optimization of data systems - Troubleshoot and resolve data pipeline issues - Conduct performance tuning and capacity planning Required Qualifications Experience - 2+ years of experience in data engineering or related roles - Proven experience with ETL/ELT pipeline development - Experience with cloud data platform (GCP) - Experience with big data technologies Technical Skills - Programming Languages : Python, SQL, Golang (preferred) - Databases: PostgreSQL, MySQL, Redis - Big Data Tools: Apache Spark, Apache Kafka, Apache Airflow, DBT, Dataform - Cloud Platforms: GCP (BigQuery, Dataflow, Cloud run, Cloud SQL, Cloud Storage, Pub/Sub, App Engine, Compute Engine etc.) - Data Warehousing: Google BigQuery - Data Visualization: Superset, Looker, Metabase, Tableau - Version Control: Git, GitHub - Containerization: Docker Soft Skills - Strong problem-solving and analytical thinking - Excellent communication and collaboration skills - Ability to work independently and in team environments - Strong attention to detail and data quality - Continuous learning mindset Preferred Qualifications Additional Experience - Experience with real-time data processing and streaming - Knowledge of machine learning pipelines and MLOps - Experience with data governance and data catalog tools - Familiarity with business intelligence tools (Tableau, Power BI, Looker, etc.) - Experience using AI-powered tools (such as Cursor, Claude, Copilot, ChatGPT, Gemini, etc.) to accelerate coding, automate tasks, or assist in system design ( We belive run with machine, not against machine ) Interview Process 1. Initial Screening: Phone/video call with HR 2. Technical Interview: Deep dive into data engineering concepts 3. Final Interview: Discussion with senior leadership Note: This job description is intended to provide a general overview of the position and may be modified based on organizational needs and candidate qualifications. Our Team Culture We are Groot. - We work together, we grow together, we succeed together. We believe in: - Innovation First - Like Iron Man, we're always pushing the boundaries of what's possible - Team Over Individual - Like the Avengers, we're stronger together than apart - Continuous Learning - Like Po learning Kung Fu, we're always evolving and improving - Making a Difference - Like Captain America, we fight for what's right (in this case, better marketing!) Growth Journey There is no charge for awesomeness... or attractiveness. - Po Your journey with us will be like Po's transformation from noodle maker to Dragon Warrior: - Level 1 : Master the basics of our data infrastructure - Level 2: Build and optimize data pipelines - Level 3 : Lead complex data projects and mentor others - Level 4: Become a data engineering legend (with your own theme music! ) What We Promise I am Iron Man. - We promise you'll feel like a superhero every day! - Work that matters - Every pipeline you build helps real marketers succeed - Growth opportunities - Learn new technologies and advance your career - Supportive team - We've got your back, just like the Avengers - Work-life balance - Because even superheroes need rest!

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that cater to the most complex digital transformation needs of clients. Our comprehensive range of consulting, design, engineering, and operational capabilities enables us to assist clients in achieving their most ambitious goals and establishing sustainable, future-ready businesses. With a global presence of over 230,000 employees and business partners spanning 65 countries, we remain committed to supporting our customers, colleagues, and communities in navigating an ever-evolving world. We are currently seeking an individual with hands-on experience in data modeling for both OLTP and OLAP systems. The ideal candidate should possess a deep understanding of Conceptual, Logical, and Physical data modeling, coupled with a robust grasp of indexing, partitioning, and data sharding, supported by practical experience. Experience in identifying and mitigating factors impacting database performance for near-real-time reporting and application interaction is essential. Proficiency in at least one data modeling tool, preferably DB Schema, is required. Additionally, functional knowledge of the mutual fund industry would be beneficial. Familiarity with GCP databases such as Alloy DB, Cloud SQL, and Big Query is preferred. The role demands willingness to work from our Chennai office, with a mandatory presence on-site at the customer site requiring five days of work per week. Cloud-PaaS-GCP-Google Cloud Platform is a mandatory skill set for this position. The successful candidate should have 5-8 years of relevant experience and should be prepared to contribute to the reimagining of Wipro as a modern digital transformation partner. We are looking for individuals who are inspired by reinvention - of themselves, their careers, and their skills. At Wipro, we encourage continuous evolution, reflecting our commitment to adapt to the changing world around us. Join us in a business driven by purpose, where you have the freedom to shape your own reinvention. Realize your ambitions at Wipro. We welcome applications from individuals with disabilities. For more information, please visit www.wipro.com.,

As a Software Engineer Practitioner at TekWissen in Chennai, you will be a crucial part of the team responsible for the development and maintenance of the Enterprise Data Platform. Your main focus will be on designing, building, and optimizing scalable data pipelines within the Google Cloud Platform (GCP) environment. Working with GCP Native technologies such as BigQuery, Dataform, Dataflow, and Pub/Sub, you will ensure data governance, security, and optimal performance. This role offers you the opportunity to utilize your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at the client. To be successful in this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field of study. You should have at least 5 years of experience with a strong understanding of database concepts and multiple database technologies to optimize query and data processing performance. Proficiency in SQL, Python, and Java is essential, along with experience in programming engineering transformations in Python or similar languages. Additionally, you should have the ability to work effectively across different organizations, product teams, and business partners, along with knowledge of Agile (Scrum) methodology and experience in writing user stories. Your skills should include expertise in data architecture, data warehousing, and Google Cloud Platform tools such as BigQuery, Data Flow, Dataproc, Data Fusion, and others. Experience with Data Warehouse concepts, ETL processes, and data service ecosystems is crucial for this role. Strong communication skills are necessary for both internal team collaboration and external stakeholder interactions. Your role will involve advocating for user experience through empathetic stakeholder relationships and ensuring effective communication within the team and with stakeholders. As a Software Engineer Practitioner, you should have excellent communication, collaboration, and influence skills to energize the team. Your knowledge of data, software, architecture operations, data engineering, and data management standards will be valuable in this role. Hands-on experience in Python using libraries like NumPy and Pandas is required, along with extensive knowledge of GCP offerings and bundled services related to data operations. You should also have experience in re-developing and optimizing data operations, data science, and analytical workflows and products. TekWissen Group is an equal opportunity employer that supports workforce diversity, and we encourage applicants from diverse backgrounds to apply. Join us in shaping the future of data engineering and making a positive impact on lives, communities, and the planet.,

Developing cloud-based compliance state-of-the-art archive products to archive and retain real-time communications data in line with internal and external regulatory requirements. The product is developed in-house in an agile development setup based on business requirements from multiple stakeholder parties. By employing continuous development and deployment principles, the team is aiming to transition from project to product management to support the bank with robust compliance archive solutions for the next decade. For a large global investment bank, we are looking for GCP-qualified cloud engineers to help with the FIC (fixed income and currencies) cloud migrations under Project Cirrus. Knowledge of Financial Services/FIC would be great, but the primary skills we need are in building, migrating, and deploying applications to GCP, Terraform module coding, Google infrastructure, cloud-native services such as GCE, GKE, CloudSQL/Postgres, logging and monitoring, etc., & good written and spoken English, as we would like these engineers to help with knowledge transfer to our existing development & support teams. We would like to place people alongside the engineers they'll be working with in the bank. You should have extensive experience with Google Cloud Platform (GCP), Kubernetes, and Docker. role involves working closely with our development and operations teams to ensure seamless integration and deployment of applications. Responsibilities Design, implement, and manage CI/CD pipelines on GCP. Automate infrastructure provisioning, configuration, and deployment using tools like Terraform and Ansible. Manage and optimize Kubernetes clusters for high availability and scalability. Containerize applications using Docker and manage container orchestration. Monitor system performance, troubleshoot issues, and ensure system reliability and security. Collaborate with development teams to ensure smooth and reliable operation of software and systems. Implement and manage logging, monitoring, and alerting solutions. Stay updated with the latest industry trends and best practices in DevOps and cloud technologies. Skills Must have Looking for 6 to 9 years of experience as a DevOps Engineer and a minimum of 4 years of relevant experience in GCP. Bachelor's degree in Computer Science, Engineering, or a related field. Strong expertise in Kubernetes and Docker. Experience with infrastructure as code (IaC) tools such as Terraform and Ansible. Proficiency in scripting languages like Python, Bash, or Go. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Knowledge of networking, security, and database management. Excellent problem-solving skills and attention to detail. Nice to have Strong communication and collaboration skills.

Responsibilities A day in the life of an Infoscion • As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. • You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. • You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design • You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines • Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: • Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability • Good knowledge on software configuration management systems • Awareness of latest technologies and Industry trends • Logical thinking and problem solving skills along with an ability to collaborate • Understanding of the financial processes for various types of projects and the various pricing models available • Ability to assess the current processes, identify improvement areas and suggest the technology solutions • One or two industry domain knowledge • Client Interfacing skills • Project and Team management Technical and Professional Requirements : Technology->Cloud Platform->GCP Data Analytics->Looker,Technology->Cloud Platform->GCP Database->Google BigQuery Preferred Skills: Technology->Cloud Platform->Google Big Data Technology->Cloud Platform->GCP Data Analytics

Work with the team in capacity of GCP Data Engineer on day to day activities Solve problems at hand with utmost clarity and speed Train and coach other team members Ability to turn around quickly Work with Data analysts and architects to help them solve any specific issues with tooling/processes Design, build and operationalize large scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python/Java/React.js, AirFlow ETL skills - GCP services (BigQuery, Dataflow, Cloud SQL, Cloud Functions, Data Lake Design and build production data pipelines from ingestion to consumption within a big data architecture GCP BQ modeling and performance tuning techniques RDBMS and No-SQL database experience Knowledge on orchestrating workloads on cloud Implement Data warehouse & Big/Small data designs, data lake solutions with very good data quality capabilities Understanding and knowledge of deployment strategies CI/CD.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for: Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done. Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence.

We are looking for experienced professionals with strong expertise in Google Cloud Platform (GCP) database services. The role involves designing, implementing, and troubleshooting scalable database solutions on GCP. Responsibilities: - Proven experience as a Subject Matter Expert in Google Cloud native databases and managed SQL solutions or a similar role. - In-depth knowledge of Google Cloud Platform (GCP) and its database tools, including Cloud SQL, BigQuery, and Spanner. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills. - Proficiency in relevant programming languages such as SQL, Python, or Go. - Familiarity with cloud-native architectures and database best practices. - Provide technical expertise on GCP database tools. - Design and support cloud-native database architectures. - Resolve complex database issues. - Collaborate with cross-functional teams. Good to Have: - Google Cloud certifications. - Experience in DB migration. - Knowledge of data security/compliance.,

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.