660 Bigquery Jobs - Page 3

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What you ll do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Primary Location: IND-Trivandrum-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What you ll do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS, Rest API 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Primary Location: IND-Trivandrum-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

What you ll do Design, develop, and operate high scale applications across the full engineering stack. Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Research, create, and develop software applications to extend and improve on Equifax Solutions. Manage sole project priorities, deadlines, and deliverables. Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Cloud Certification strongly preferred Primary Location: IND-Trivandrum-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

3+ years of data engineering experience, preferably with one or more of these technologies SQL, ANSI SQL, LookML, Data Modeling Language (DML) or BigQuery Understanding of how to structure and consume data into Looker to provide optimal performance. Telco Background Experience developing data solutions in the cloud using GCP, AWS, or Azure primary skills : SQL , Big Query , Looker

Job This role is for heading the PED function of Movement plant. PED function is responsible for creating process routing for Movementcomponents, identify & establish new manufacturing process, anchoring engg change request trials, carry out new materials, process trails, establish alternate, secondary production sources, analysis of competitor product on process & quality, analysis & action plans for Mkt return feedbacks. External Interfaces Internal Interfaces \u00B7Vendors \u2013 Materials, Tools, Special process manufacturing \u00B7Testing Labs \u00B7R&D \u2013 Product design \u00B7Movement Manufacturing shops \u00B7Assembly (Internal customer) \u00B7Sourcing \u00B7Material Engineering \u00B7Quality Function \u00B7Subcontract team \u00B7Planning Job Education B.E (Mechanical Engineering / Production Technology) Relevant Experience 12-15 yrs. industrial experience Behavioural Skills \u00B7Process improvements exploration & implementing best manufacturing practises \u00B7Inclination towards research of new process and new materials for cost reduction & process flow smoothening \u00B7Constantly benchmarking process / Mfg technology with external world especially in the field of Horology & Precision component manufacturing Knowledge \u00B7Engineering drawings, 2D / 3D software skills \u00B7Material Science / Metallurgy, \u00B7Manufacturing process knowledge \u00B7Analysis / Simulation software knowledge \u00B7Manufacturing practises \u2013 Lean, TQM, Six Sigma \u00B7Tool, Die & Fixtures manufacturing Expected Process Contributions Expected Process Contribution Process Outcome Performance Measure Movement Mfg Manufacturing process Improvement 1.Process optimization \u2013 Cycle time / Std time revisit & identifying opportunities for improvement 2.Mapping new process routing for streamlining the product (Component) flow 3.Benchmarking similar precision industries for Process innovations & technologies 4.Trouble shooting of process limitations & propose new methods / tooling solutions / secondary operations \u00B7Lead time reduction & Capacity optimization \u00B7Smooth flow, De-bottlenecking \u00B7Breakthrough improvements \u00B7Per day per machine output \u00B7Number of new processes \u00B7Cost of operations Movement Mfg Engineering solutions 1. Process optimization 2. Engineering solutions as alternates or improving efficiency on various secondary operations carried out after manufacturing operations (Deburring, chips removal, finish improvements) \u00B7Annual Process Reviews \u00B7Secondary process effort reduction & efficiency \u00B7Number of process improvements \u00B7Leadtime / Temp manpower reduction for secondary operations Movement Mfg Process documentation & Trials 1. Ensuring creation of strong Operational Procedure Sheet for each product drawing covering all dimensions, Process routing & controls, critical to quality (CTQ) checks etc 2. Documenting all versions of changes on product and reason for changing 3. Conducting trials for Process, Quality, delivery improvements and documenting the results & feedbacks and upgrading the product drawings 4. New components / movements \u2013 proof of concept (POC) prototyping \u2013 coordination with in-house POC cell. Establishing alternate sources for quick prototyping of precision machining operations \u00B7Product drawing to Operational control document \u00B7Process improvement trials \u00B7Quick POC \u00B7Number of OPS \u00B7Number of trials \u00B7Number of POC components produced \u2013 alternate source Movement Mfg Quality 1. Perform Root-cause-analysis for repeat defects based on subsequent stage customer feedback & market return feedback 2. Projects for Engineering change request, design upgradations \u2013 tracking of milestones, 3. Identify quality parameters for Treatment processes & establish proper SOPs 4. Establish SOPs for finish (Turning & Machining operations) \u00B7Completion of Mkt reduction initiatives \u00B7Completion of ECRs & documentation \u00B7Reduction in Mkt returns \u00B7Reduction in Quality feedbacks from Assembly (Subsequent stages) Movement Mfg Alternate source / Materials 1. Benchmarking with competitor product / precision Industries on the materials being used. 2. Finding Suitable sources of materials indigenous to avoid import dependency 3. Coordinating and carrying out the trials for alternate materials / alternate sources \u2013 Process establishment, tooling suitability etc \u00B7New Raw material sources \u00B7Alternate material establishment \u00B7Cost Savings through alternate raw materials / alternate sources Movement Mfg Preparation for Mass Mfg 1. Coordination with R&D, Tool design & Tool Mfg for Stamping tools design & mass production establishment 2. For New components, coordination with Mfg shops, Tool design & Tool Mfg for Jigs, fixtures, Gauges & sub Assembly tools 3. Incorporating Mfg Shop feedbacks after Proto trials on product drawing for mass manufacturing \u00B7New Stamping tools for mass mfg \u00B7Mass mfg of new movement / components \u00B7Number of new movement / new components taken for Mass Mfg

Vaisesika is hiring Senior GCP BigQuery Developers Do you have hands-on experience in BigQuery, ETL, and SQL, plus familiarity with Linux scripting and SSIS or Power BI? We are looking for you Skills: BigQuery | ETL | SQL | Linux (preferable) | SSIS or Power BI Location: Remote Experience: 4+ years Role Responsibilities: Design complex apps and architecture components Lead small teams in development and testing Resolve medium-to-complex defects and performance issues Own assigned service commitments/tickets Manage code reviews and mentor junior developers Mandatory Skills: Google BigQuery development ETL & SQL expertise Advanced data modeling Linux (preferable) SSIS or Power BI experience

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : React.js, Cloud Network OperationsMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and implement scalable applications using Google BigQuery.- Collaborate with cross-functional teams to ensure application functionality.- Conduct code reviews and provide technical guidance to junior developers.- Stay updated on industry trends and best practices in application development.- Troubleshoot and resolve application issues in a timely manner. Professional & Technical Skills: (Project specific)- BQ, BQ Geospatial, Python, Dataflow, Composer ,- Secondary skill -Geospatial Domain Knowledge"- Must To Have Skills: Proficiency in Google BigQuery.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Google BigQuery.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain data pipelines.- Ensure data quality throughout the data lifecycle.- Implement ETL processes for data migration and deployment.- Collaborate with cross-functional teams to understand data requirements.- Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Strong understanding of data engineering principles.- Experience with cloud-based data services.- Knowledge of SQL and database management systems.- Hands-on experience with data modeling and schema design. Additional Information:- The candidate should have a minimum of 3 years of experience in Google BigQuery.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : EPIC Systems Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot software problems, analyzing system performance, and ensuring that applications run smoothly to support business operations effectively. You will engage with users to understand their challenges and work diligently to implement solutions that enhance system functionality and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of application support processes to improve efficiency.- Provide training and support to junior team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in EPIC Systems.- Strong analytical skills to diagnose and resolve software issues.- Experience with troubleshooting and debugging applications.- Familiarity with system integration and data flow management.- Ability to communicate technical information effectively to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in EPIC Systems.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Microsoft 365 Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to help clients implement effective solutions. You will understand and translate customer needs into business and technology solutions, drive discussions and consult on transformation, the customer journey, functional/application designs, and ensure technology and business solutions represent business requirements. Your typical day will involve providing consultative services, understanding customer needs, driving discussions, and ensuring the implementation of effective solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with clients to understand their business and technology needs.- Translate customer requirements into functional/application designs.- Consult on transformation and the customer journey.- Ensure technology and business solutions align with business requirements.- Provide expertise in Microsoft 365 integration and implementation.- Stay updated with the latest industry trends and best practices.- Assist in troubleshooting and resolving integration issues.- Collaborate with cross-functional teams to deliver successful integration projects. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft 365.- Good To Have Skills: Experience with Microsoft PowerShell, Microsoft 365 Security & Compliance.- Strong understanding of business and system integration principles.- Experience in translating customer needs into functional/application designs.- Knowledge of Microsoft 365 integration and implementation best practices.- Familiarity with troubleshooting and resolving integration issues.- Ability to collaborate effectively with cross-functional teams.- Excellent communication and presentation skills. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft 365.- This position is based in Gurugram.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Manufacturing Engineering MES Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with various teams to ensure that the software meets the required specifications and quality standards. You will apply your knowledge of technologies and methodologies to support projects effectively, ensuring that all aspects of the software development process are executed smoothly and efficiently. Engaging with stakeholders, you will gather requirements and provide insights that drive the project forward, while also mentoring team members to enhance their skills and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Manufacturing Engineering MES.- Good To Have Skills: Experience with software development methodologies such as Agile or Scrum.- Strong understanding of system integration and data flow within manufacturing environments.- Experience with programming languages relevant to MES development.- Familiarity with database management systems and data analytics tools. Additional Information:- The candidate should have minimum 7.5 years of experience in Manufacturing Engineering MES.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Fulltime 15 years qualificationRole and Responsibilities:1. Design, create, code, and support a variety of data pipelines and models on GCP cloud technology 2. Strong hand-on exposure to GCP services like BigQuery, Composer etc.3. Partner with business/data analysts, architects, and other key project stakeholders to deliver data requirements.4. Developing data integration and ETL (Extract, Transform, Load) processes.5. Support existing Data warehouses & related pipelines.6. Ensuring data quality, security, and compliance.7. Optimizing data processing and storage efficiency, troubleshoot issues in Data space.8. Seeks to learn new skills/tools utilized in Data space (ex:dbt, MonteCarlo etc.)9. Excellent communication skills- verbal and written, Excellent analytical skills with Agile mindset.10. Demonstrates strong affinity towards paying attention to details and delivery accuracy.11. Self-motivated team player and should have ability to overcome challenges and achieve desired results.12. Work effectively in Global distributed environment.13. Employee should be ready to work in shift B i.e. 12:30 pm to 10:30 pm14. Employee should be ready to work as individual contributor Skill Proficiency Expectation:Expert:Data Storage, BigQuery,SQL,Composer,Data Warehousing ConceptsIntermidate Level:PythonBasic Level/Preferred:DB,Kafka, Pub/Sub Additional Information:- The candidate should have a minimum of 5 years of experience in Google BigQuery.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.- This position is based at our Mumbai office. Qualification Fulltime 15 years qualification

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education:We are looking for an experienced Kubernetes Architect to join our growing cloud infrastructure team. This role will be responsible for architecting, designing, and implementing scalable, secure, and highly available cloud-native applications on Kubernetes. You will leverage Kubernetes along with associated technologies like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build resilient systems that meet both business and technical needs. Google Kubernetes Engine (GKE) will be considered as an additional skill. As a Kubernetes Architect, you will play a key role in defining best practices, optimizing the infrastructure, and providing architectural guidance to cross-functional teams.Key Responsibilities:Architect Kubernetes Solutions:Design and implement scalable, secure, and high-performance Kubernetes clusters.Cloud-Native Application Design:Collaborate with development teams to design cloud-native applications, ensuring that microservices are properly architected and optimized for Kubernetes environments.Kafka Management:Architect and manage Apache Kafka clusters using Kubekafka, ensuring reliable, real-time data streaming and event-driven architectures.Database Architecture:Use Kubegres to manage high-availability PostgreSQL clusters in Kubernetes, ensuring data consistency, scaling, and automated failover.Helm Chart Development:Create, maintain, and optimize Helm charts for consistent deployment and management of applications across Kubernetes environments.Ingress & Networking:Architect and configure Ingress controllers (e.g., NGINX, Traefik) for secure and efficient external access to Kubernetes services, including SSL termination, load balancing, and routing.Caching and Performance Optimization:Leverage Redis to design efficient caching and session management solutions, optimizing application performance.Monitoring & Observability:Lead the implementation of Prometheus for metrics collection and Grafana for building real-time monitoring dashboards to visualize the health and performance of infrastructure and applications.CI/CD Integration:Design and implement continuous integration and continuous deployment (CI/CD) pipelines to streamline the deployment of Kubernetes-based applications.Security & Compliance:Ensure Kubernetes clusters follow security best practices, including RBAC, network policies, and the proper configuration of Secrets Management.Automation & Scripting:Develop automation frameworks using tools like Terraform, Helm, and Ansible to ensure repeatable and scalable deployments.Capacity Planning and Cost Optimization:Optimize resource usage within Kubernetes clusters to achieve both performance and cost-efficiency, utilizing cloud tools and services.Leadership & Mentorship:Provide technical leadership to development, operations, and DevOps teams, offering mentorship, architectural guidance, and sharing best practices.Documentation & Reporting:Produce comprehensive architecture diagrams, design documents, and operational playbooks to ensure knowledge transfer across teams and maintain system reliability.Required Skills & Experience:10+ years of experience in cloud infrastructure engineering, with at least 5+ years of hands-on experience with Kubernetes.Strong expertise in Kubernetes for managing containerized applications in the cloud. Experience in deploying & managing container-based systems on both private and public clouds (Google Kubernetes Engine (GKE)).Proven experience with Kubekafka for managing Apache Kafka clusters in Kubernetes environments.Expertise in managing PostgreSQL clusters with Kubegres and implementing high-availability database solutions.In-depth knowledge of Helm for managing Kubernetes applications, including the development of custom Helm charts.Experience with Ingress controllers (e.g., NGINX, Traefik) for managing external traffic in Kubernetes.Hands-on experience with Redis for caching, session management, and as a message broker in Kubernetes environments.Advanced knowledge of Prometheus for monitoring and Grafana for visualization and alerting in cloud-native environments.Experience with CI/CD pipelines for automated deployment and integration using tools like Jenkins, GitLab CI, or CircleCI.Solid understanding of networking, including load balancing, DNS, SSL/TLS, and ingress/egress configurations in Kubernetes.Familiarity with Terraform and Ansible for infrastructure automation.Deep understanding of security best practices in Kubernetes, such as RBAC, Network Policies, and Secrets Management.Knowledge of DevSecOps practices to ensure secure application delivery.Certifications:oGoogle Cloud Platform (GCP) certification is mandatory.oKubernetes Certification (CKA, CKAD, or CKAD) is highly preferred.oHashiCorp Terraform certification is a significant plus. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Google Kubernetes Engine Good to have skills : Kubernetes, Google Cloud Compute ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education:Job Summary :We are seeking a motivated and talented GCP & Kubernetes Engineer to join our growing cloud infrastructure team. This role will be a key contributor in building and maintaining our Kubernetes platform, working closely with architects to design, deploy, and manage cloud-native applications on Google Kubernetes Engine (GKE).Responsibilities:Extensive hands-on experience with Google Cloud Platform (GCP) and Kubernetes implementations.Demonstrated expertise in operating and managing container orchestration engines such as Dockers or Kubernetes.Knowledge or experience on various Kubernetes tools like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and PrometheusProven track record in supporting and deploying various public cloud services.Experience in building or managing self-service platforms to boost developer productivity.Proficiency in using Infrastructure as Code (IaC) tools like Terraform.Skilled in diagnosing and resolving complex issues in automation and cloud environments.Advanced experience in architecting and managing highly available and high-performance multi-zonal or multi-regional systems.Strong understanding of infrastructure CI/CD pipelines and associated tools.Collaborate with internal teams and stakeholders to understand user requirements and implement technical solutions.Experience working in GKE, Edge/GDCE environments.Assist development teams in building and deploying microservices-based applications in public cloud environments.Technical Skillset:Minimum of 3 years of hands-on experience in migrating or deploying GCP cloud-based solutions.At least 3 years of experience in architecting, implementing, and supporting GCP infrastructure and topologies.Over 3 years of experience with GCP IaC, particularly with Terraform, including writing and maintaining Terraform configurations and modules.Experience in deploying container-based systems such as Docker or Kubernetes on both private and public clouds (GCP GKE).Familiarity with CI/CD tools (e.g., GitHub) and processes.Certifications:GCP ACE certification is mandatory.CKA certification is highly desirable.HashiCorp Terraform certification is a significant plus. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for an experienced Kubernetes Specialist to join our cloud infrastructure team. You will work closely with architects and engineers to design, implement, and optimize cloud-native applications on Google Kubernetes Engine (GKE). This role will focus on providing expertise in Kubernetes, container orchestration, and cloud infrastructure management, ensuring the seamless operation of scalable, secure, and high-performance applications on GKE and other cloud environments.Responsibilities:Kubernetes Implementation:Design, implement, and manage Kubernetes clusters for containerized applications, ensuring high availability and scalability.Cloud-Native Application Design:Work with teams to deploy, scale, and maintain cloud-native applications on Google Kubernetes Engine (GKE).Kubernetes Tools Expertise:Utilize Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build and maintain resilient systems.Infrastructure Automation:Develop and implement automation frameworks using Terraform and other tools to streamline Kubernetes deployments and cloud infrastructure management.CI/CD Implementation:Design and maintain CI/CD pipelines to automate deployment and testing for Kubernetes-based applications.Kubernetes Networking & Security:Ensure secure and efficient Kubernetes cluster networking, including Ingress controllers (e.g., NGINX, Traefik), RBAC, and Secrets Management.Monitoring & Observability:Lead the integration of monitoring solutions using Prometheus for metrics and Grafana for real-time dashboard visualization.Performance Optimization:Optimize resource utilization within GKE clusters, ensuring both performance and cost-efficiency.Collaboration:Collaborate with internal development, operations, and security teams to meet user requirements and implement Kubernetes solutions.Troubleshooting & Issue Resolution:Address complex issues related to containerized applications, Kubernetes clusters, and cloud infrastructure, troubleshooting and resolving them efficiently.Technical Skillset:GCP & Kubernetes Experience:Minimum of 3+ years of hands-on experience in Google Cloud Platform (GCP) and Kubernetes implementations, including GKE.Container Management:Proficiency with container orchestration engines such as Kubernetes and Docker.Kubernetes Tools Knowledge:Experience with Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus for managing Kubernetes-based applications.Infrastructure as Code (IaC):Strong experience with Terraform for automating infrastructure provisioning and management.CI/CD Pipelines:Hands-on experience in building and managing CI/CD pipelines for Kubernetes applications using tools like Jenkins, GitLab, or CircleCI.Security & Networking:Knowledge of Kubernetes networking (DNS, SSL/TLS), security best practices (RBAC, network policies, and Secrets Management), and the use of Ingress controllers (e.g., NGINX)Cloud & DevOps Tools:Familiarity with cloud services and DevOps tools such as GitHub, Jenkins, and Ansible.Monitoring Expertise:In-depth experience with Prometheus and Grafana for operational monitoring, alerting, and creating actionable insights.Certifications:Google Cloud Platform (GCP) Associate Cloud Engineer (ACE) certification is required.Certified Kubernetes Administrator (CKA) is highly preferred. Qualification 15 years full time education

Job Title - S&C GN - Data Science Manager Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. As a manager , you will play a crucial role in stakeholder engagement, client communication, and business development . You will be responsible for translating complex AI/ML insights into actionable business strategies and presenting them to senior leadership and clients. Your role will involve collaborating with cross-functional teams, understanding client pain points, and driving data-driven solutions . Additionally, you will lead client presentations, proposal development, and business growth initiatives , ensuring seamless execution of AI/ML projects while identifying new opportunities for innovation and expansion. Strong interpersonal and negotiation skills will be key to driving successful partnerships and long-term business impact . About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 6+ years of relevant experience, OR Masters degree with 8+ years of experience, OR Bachelors degree with 11+ years of experience

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality solutions in a dynamic environment. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously assess and improve existing processes to increase efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Kubernetes, Google Kubernetes Engine, Google Cloud Compute Services.- Good To Have Skills: Experience with Google Kubernetes Engine, Google Cloud Compute Services.- Strong understanding of container orchestration and management.- Experience with cloud infrastructure design and deployment.- Familiarity with CI/CD pipelines and automation tools. Additional Information:- The candidate should have minimum 12 years of experience in Kubernetes.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&C GN - Data Science Manager Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. As a manager , you will play a crucial role in stakeholder engagement, client communication, and business development . You will be responsible for translating complex AI/ML insights into actionable business strategies and presenting them to senior leadership and clients. Your role will involve collaborating with cross-functional teams, understanding client pain points, and driving data-driven solutions . Additionally, you will lead client presentations, proposal development, and business growth initiatives , ensuring seamless execution of AI/ML projects while identifying new opportunities for innovation and expansion. Strong interpersonal and negotiation skills will be key to driving successful partnerships and long-term business impact . About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 6+ years of relevant experience, OR Masters degree with 8+ years of experience, OR Bachelors degree with 11+ years of experience

Job Title - Data Scientist and Analytics Level 9:Consultant Ind & Func AI Decision Science Consultant S&C Management Level:09 - Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills:GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 8 years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

We are looking for a Senior Python Developer with a passion for AI research and API development to join our growing team. In this role, you will be responsible for building scalable, high-performance APIs and contributing to AI/ML research and implementation. You will work closely with data scientists, researchers, and product teams to design and deploy intelligent systems that power our next-generation applications. Key Responsibilities Design, develop, and maintain Python-based APIs for AI/ML models and services Collaborate with AI researchers to implement and optimize machine learning models Conduct research into new AI/ML techniques and evaluate their applicability to business problems Build RESTful and GraphQL APIs using frameworks like FastAPI , Flask , or Django REST Framework Write clean, testable, and maintainable Python code with a focus on performance and scalability Participate in code reviews , mentor junior developers, and contribute to best practices Integrate AI models with backend systems and frontend applications Stay up-to-date with AI/ML trends , Python libraries (e.g., PyTorch , TensorFlow , Scikit-learn ), and API design patterns Work in an agile environment , delivering high-quality software in iterative sprints Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field 4 + years of professional experience in software development, with 3 + years in Python Strong experience with Python web frameworks (e.g., FastAPI, Flask, Django) What Were Looking For in a Candidate A curious mind with a passion for AI and software development A team player who can mentor and guide others A self-starter who can take initiative and deliver results A lifelong learner who stays current with emerging technologies and trends Why Join Us? Work on cutting-edge AI projects with real-world impact Collaborate with top-tier researchers and engineers Flexible work environment and remote-friendly options Competitive salary and performance-based incentives Opportunities for professional growth and leadership A culture that values innovation, collaboration, and continuous learning

Overview Annalect is currently seeking a data engineer to join our technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design, and development of software products as well as research and evaluation of new technical solutions. Responsibilities Design, build, test and deploy scalable and reusable systems that handle large amounts of data. Collaborate with product owners and data scientists to build new data products. Ensure data quality and reliability Qualifications Experience designing and managing data flows. Experience designing systems and APIs to integrate data into applications. 4+ years of Linux, Bash, Python, and SQL experience 2+ years using Spark and other frameworks to process large volumes of data. 2+ years using Parquet, ORC, or other columnar file formats. 2+ years using AWS cloud services, esp. services that are used for data processing e.g. Glue, Dataflow, Data Factory, EMR, Dataproc, HDInsights , Athena, Redshift, BigQuery etc. Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges

Looking for a Data Warehouse Migration Specialist with 15+ years of experience having strong technical depth, business acumen, delivery & program management. Seeking to build strong relationships and trust with new and existing customers across industry sectors. This position entails a technical background in modernization of data warehouses and related applications to the cloud. As a Project/Program Manager, you will own the solution design, implementation / migration of large & complex data warehouses and associated applications on Public Cloud. This is a client-facing role and he/she will not only be a trusted advisor to our clients for driving the next generation innovation but also a leader in advancing Datametica s capabilities into the future. The role is critical and a core building block to our core market offerings in cloud modernization & migration. You will collaborate with leaders in various divisions, industries and geographies, in developing & implementing solutions for our clients. Expectations from the Role Responsible for end-to-end project delivery of Data Warehouse migration project to cloud from project estimations, project planning, resourcing and monitoring perspective Responsible to work closely with customer to understand the requirements, discuss and define various use cases Liaise with key stakeholders to define the data/cloud solutions roadmap, prioritize the deliverables Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings Participate and contribute to Solution Design and Solution Architecture for implementing migration projects Monitor and review the status of the project and ensure that the deliverables are on track with respect to scope, budget and time Transparently communicate the status of the project to all the stakeholders on a regular basis Identify and manage risks / issues related to deliverables and arrive at mitigation plans to resolve the issues and risks Seek proactive feedback continuously to identify areas of improvement P&L management or Gross margin accountability Building People & Competencies Qualification & Experience Bachelors / Masters degree in science or engineering, having a Business Management Degree is good to have. Overall experience of 15+ years with minimum 4+ years in Cloud, DWH, Modernization, Migration and Application Development. Must have a very strong programming (as on today) in SQL , Stored Procedures Technical Delivery Management in DWH (on-premise) with extensive hands-on knowledge on Teradata & Ab-Initio , also exposure to the other DWH (Informatica / DataStage / Alteryx / etc.) is good to have. Technical Delivery Management in Cloud (Public & Private) with extensive hands-on knowledge on Google Cloud , also exposure to the other two (Azure or AWS) is good to have. Have worked in a client-facing role at the client location. Ability to lead multiple teams with strong focus on Delivery. Experience of working in/with multi-vendor, 3rd parties, and client teams. Good at people management and has experience leading onsite and offshore teams globally. Excellent articulation and written communication skills. Provide thought leadership, lead innovation & ideation by leveraging evolving.

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: Data SolutionArchitect JobDescription: Design,architect, and implement scalable data solutions on Google Cloud Platform (GCP)to meet the strategic data needs of the organization. Leadthe integration of diverse data sources into a unified data platform, ensuringseamless data flow and accessibility across the organization. Developand enforce robust data governance, security, and compliance frameworkstailored to GCP's architecture. Collaboratewith cross-functional teams, including data engineers, data scientists, andbusiness stakeholders, to translate business requirements into technical datasolutions. Optimizedata storage, processing, and analytics solutions using GCP services such asBigQuery, Dataflow, and Cloud Storage. Drivethe adoption of best practices in data architecture and cloud computing toenhance the performance, reliability, and scalability of data solutions. Conductregular reviews and audits of the data architecture to ensure alignment withevolving business goals and technology advancements. Stayinformed about emerging GCP technologies and industry trends to continuouslyimprove data solutions and drive innovation. ProfileDescription: Experience:12-15 years of experience in data architecture, with extensive expertise inGoogle Cloud Platform (GCP). Skills:Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, CloudStorage, and IAM. Proficiency in data modeling, ETL processes, and datawarehousing. Qualifications:Masters degree in Computer Science, Data Engineering, or a related field. Competencies:Strong leadership abilities, with a proven track record of managing large-scaledata projects. Ability to balance technical and business needs in designingdata solutions. Certifications:Google Cloud Professional Data Engineer or Professional Cloud Architectcertification preferred. Knowledge:Extensive knowledge of data governance, security best practices, and compliancein cloud environments. Familiarity with big data technologies like ApacheHadoop and Spark. SoftSkills: Excellent communication skills to work effectively with both technicalteams and business stakeholders. Ability to lead and mentor a team of dataengineers and architects. Tools:Experience with version control (Git), CI/CD pipelines, and automation tools.Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: Data Solution Architect Job Description: Design, architect, and implement scalable data solutions on Google Cloud Platform (GCP) to meet the strategic data needs of the organization. Lead the integration of diverse data sources into a unified data platform, ensuring seamless data flow and accessibility across the organization. Develop and enforce robust data governance, security, and compliance frameworks tailored to GCP's architecture. Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to translate business requirements into technical data solutions. Optimize data storage, processing, and analytics solutions using GCP services such as BigQuery, Dataflow, and Cloud Storage. Drive the adoption of best practices in data architecture and cloud computing to enhance the performance, reliability, and scalability of data solutions. Conduct regular reviews and audits of the data architecture to ensure alignment with evolving business goals and technology advancements. Stay informed about emerging GCP technologies and industry trends to continuously improve data solutions and drive innovation. Profile Description: Experience: 12-15 years of experience in data architecture, with extensive expertise in Google Cloud Platform (GCP). Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing. Qualifications: Masters degree in Computer Science, Data Engineering, or a related field. Competencies: Strong leadership abilities, with a proven track record of managing large-scale data projects. Ability to balance technical and business needs in designing data solutions. Certifications: Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred. Knowledge: Extensive knowledge of data governance, security best practices, and compliance in cloud environments. Familiarity with big data technologies like Apache Hadoop and Spark. Soft Skills: Excellent communication skills to work effectively with both technical teams and business stakeholders. Ability to lead and mentor a team of data engineers and architects. Tools: Experience with version control (Git), CI/CD pipelines, and automation tools. Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

Responsibilities : - Collaborate with the sales team to understand customer challenges and business objectives and propose solutions, POC etc. - Develop and deliver impactful technical presentations and demos showcasing the capabilities of GCP Data and AI , GenAI Solutions. - Conduct technical proof-of-concepts (POCs) to validate the feasibility and value proposition of GCP solutions. - Collaborate with technical specialists and solution architects from COE Team to design and configure tailored cloud solutions. - Manage and qualify sales opportunities, working closely with the sales team to progress deals through the sales funnel. - Stay up to date on the latest GCP offerings, trends, and best practices. Experience : - Design and implement a comprehensive strategy for migrating and modernizing existing relational on-premise databases to scalable and cost-effective solution on Google Cloud Platform ( GCP). - Design and Architect the solutions for DWH Modernization and experience with building data pipelines in GCP. - Strong Experience in BI reporting tools ( Looker, PowerBI and Tableau). - In-depth knowledge of Google Cloud Platform (GCP) services, particularly Cloud SQL, Postgres, Alloy DB, BigQuery, Looker Vertex AI and Gemini (GenAI). - Strong knowledge and experience in providing the solution to process massive datasets in real time and batch process using cloud native/open source Orchestration techniques. - Build and maintain data pipelines using Cloud Dataflow to orchestrate real-time and batch data processing for streaming and historical data. - Strong knowledge and experience in best practices for data governance, security, and compliance. - Excellent Communication and Presentation Skills with ability to tailor technical information as per customer needs. - Strong analytical and problem-solving skills. - Ability to work independently and as part of a team.