42578 Gcp Jobs - Page 21

About this job In this role, your main focus would be on our backend engineering projects maintaining and improving real-time data processing services designing, developing, and maintaining ETL pipelines developing and maintaining data warehousing solutions sustaining, maintaining, and improving existing services and libraries What You Will Do Produce quality code and raise the bar for team performance Collaborate with various platform/runtime backend team(s) to provide high-quality deliverables Communicate regularly with stakeholders, project managers, and quality assurance teams Design and develop scalable, maintainable, and secure software architecture for backend systems, including APIs, microservices, and data storage solutions Create detailed architectural blueprints and collaborate with cross-functional teams to align with business goals Ensure performance, scalability, and security, while continuously optimizing and updating the architecture to incorporate new technologies and best practices Assess technical feasibility and operational constraints to discover our platforms potential Job requirements What You Will Bring 5+ years of experience working as a Backend Engineer (preferably in advertising) Experienced in delivering interdisciplinary data science products in production covering design and implementation across backend, data, and ML stacks A postgraduate degree in a relevant field (e.g. Computer Science, IT Engineering) Experience with developing or fostering high-performance distributed systems Enthusiasm for solving interesting business problems Technical know-how: Min. 5 years with J2EE (Spring) Min. 3 years with Go Min. 5 years with relational- and non-relational databases (BigQuery, Postgresql, ScyllaDB, Redis) Min. 3 years of Cloud experience with GCP and AWS (Kubernetes experience) Airflow/Spark CD/CI experience GitHub The following experience is welcome: 3+ years developing code in Python ML Ops Tools and common ML libraries

About this job In this role, your main focus would be on our backend engineering projects maintaining and improving real-time data processing services designing, developing, and maintaining ETL pipelines developing and maintaining data warehousing solutions sustaining, maintaining, and improving existing services and libraries What You Will Do Produce quality code and raise the bar for team performance Collaborate with various platform/runtime backend team(s) to provide high-quality deliverables Communicate regularly with stakeholders, project managers, and quality assurance teams Design and develop scalable, maintainable, and secure software architecture for backend systems, including APIs, microservices, and data storage solutions Create detailed architectural blueprints and collaborate with cross-functional teams to align with business goals Ensure performance, scalability, and security, while continuously optimizing and updating the architecture to incorporate new technologies and best practices Assess technical feasibility and operational constraints to discover our platforms potential Job requirements What You Will Bring 5+ years of experience working as a Backend Engineer (preferably in advertising) Experienced in delivering interdisciplinary data science products in production covering design and implementation across backend, data, and ML stacks A postgraduate degree in a relevant field (e.g. Computer Science, IT Engineering) Experience with developing or fostering high-performance distributed systems Enthusiasm for solving interesting business problems Technical know-how: Min. 5 years with J2EE (Spring) Min. 3 years with Go Min. 5 years with relational- and non-relational databases (BigQuery, Postgresql, ScyllaDB, Redis) Min. 3 years of Cloud experience with GCP and AWS (Kubernetes experience) Airflow/Spark CD/CI experience GitHub The following experience is welcome: 3+ years developing code in Python ML Ops Tools and common ML libraries

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

About this job In this role, your main focus would be on our backend engineering projects maintaining and improving real-time data processing services designing, developing, and maintaining ETL pipelines developing and maintaining data warehousing solutions sustaining, maintaining, and improving existing services and libraries What You Will Do Produce quality code and raise the bar for team performance Collaborate with various platform/runtime backend team(s) to provide high-quality deliverables Communicate regularly with stakeholders, project managers, and quality assurance teams Design and develop scalable, maintainable, and secure software architecture for backend systems, including APIs, microservices, and data storage solutions Create detailed architectural blueprints and collaborate with cross-functional teams to align with business goals Ensure performance, scalability, and security, while continuously optimizing and updating the architecture to incorporate new technologies and best practices Assess technical feasibility and operational constraints to discover our platforms potential Job requirements What You Will Bring 5+ years of experience working as a Backend Engineer (preferably in advertising) Experienced in delivering interdisciplinary data science products in production covering design and implementation across backend, data, and ML stacks A postgraduate degree in a relevant field (e.g. Computer Science, IT Engineering) Experience with developing or fostering high-performance distributed systems Enthusiasm for solving interesting business problems Technical know-how: Min. 5 years with J2EE (Spring) Min. 3 years with Go Min. 5 years with relational- and non-relational databases (BigQuery, Postgresql, ScyllaDB, Redis) Min. 3 years of Cloud experience with GCP and AWS (Kubernetes experience) Airflow/Spark CD/CI experience GitHub The following experience is welcome: 3+ years developing code in Python ML Ops Tools and common ML libraries

Mandatory skill -Azure Cloud/DevOps , .Net, Terraform, .Net core Job Summary: We are seeking a skilled Azure Cloud Operations Engineer to join our team. The ideal candidate will have experience in .NET development and Terraform, and will be responsible for managing and supporting our Azure cloud infrastructure, ensuring system performance, security, and reliability. Key Responsibilities: Design, maintain, and support the Azure cloud infrastructure. Develop and implement cloud-based solutions using .NET and Terraform. Monitor system performance and troubleshoot issues. Ensure system security and compliance with relevant regulations. Collaborate with the IT team to improve cloud infrastructure. Perform data backup and disaster recovery operations. Create and maintain documentation for cloud processes and tools. Stay updated with the latest industry trends and technologies. Provide technical support and guidance to users. Train team members on cloud operations and best practices. Required Skills and Experience: 2+ years of experience with Microsoft Azure. Proficiency in .NET development. Experience with Terraform for infrastructure as code (IaC). Strong understanding of cloud computing and Azure services. Scripting skills in languages like Python, PowerShell, or Bash. Experience with CI/CD tools and processes. Excellent communication skills and ability to work in a team. Preferred Qualifications: Bachelors degree in computer science, Information Systems, or a related field. Experience with other cloud platforms like AWS or Google Cloud. Knowledge of security best practices and compliance standards. Experience with Agile methodologies.

Mandatory skill ETL_GCP_Bigquery Develop, implement, and optimize ETL/ELT pipelines for processing large datasets efficiently. Work extensively with BigQuery for data processing, querying, and optimization. Utilize Cloud Storage, Cloud Logging, Dataproc, and Pub/Sub for data ingestion, storage, and event-driven processing. Perform performance tuning and testing of the ELT platform to ensure high efficiency and scalability. Debug technical issues, perform root cause analysis, and provide solutions for production incidents. Ensure data quality, accuracy, and integrity across data pipelines. Collaborate with cross-functional teams to define technical requirements and deliver solutions. Work independently on assigned tasks while maintaining high levels of productivity and efficiency. Skills Required Proficiency in SQL and PL/SQL for querying and manipulating data. Experience in Python for data processing and automation. Hands-on experience with Google Cloud Platform (GCP), particularly o BigQuery (must-have) o Cloud Storage o Cloud Logging o Dataproc o Pub/Sub Experience with GitHub and CI/CD pipelines for automation and deployment. Performance tuning and performance testing of ELT processes. Strong analytical and debugging skills to resolve data and pipeline issues efficiently. Self-motivated and able to work independently as an individual contributor. Good understanding of data modeling, database design, and data warehousing concepts.

Key Responsibilities: 1. Cloud Infrastructure Management:o Design, deploy, and manage scalable and secure infrastructure on Google Cloud Platform (GCP).o Implement best practices for GCP IAM, VPCs, Cloud Storage, Clickhouse, Superset Apache tools onboarding and other GCP services. 2. Kubernetes and Containerization:o Manage and optimize Google Kubernetes Engine (GKE) clusters for containerized applications.o Implement Kubernetes best practices, including pod scaling, resource allocation, and security policies. 3. CI/CD Pipelines:o Build and maintain CI/CD pipelines using tools like Cloud Build, Stratus, GitLab CI/CD, or ArgoCD.o Automate deployment workflows for containerized and serverless applications. 4. Security and Compliance:o Ensure adherence to security best practices for GCP, including IAM policies, network security, and data encryption.o Conduct regular audits to ensure compliance with organizational and regulatory standards. 5. Collaboration and Support:o Work closely with development teams to containerize applications and ensure smooth deployment on GCP.o Provide support for troubleshooting and resolving infrastructure-related issues. 6. Cost Optimization:o Monitor and optimize GCP resource usage to ensure cost efficiency.o Implement strategies to reduce cloud spend without compromising performance. Required Skills and Qualifications: 1. Certifications:o Must hold a Google Cloud Professional DevOps Engineer certification or Google Cloud Professional Cloud Architect certification. 2. Cloud Expertise:o Strong hands-on experience with Google Cloud Platform (GCP) services, including GKE, Cloud Functions, Cloud Storage, BigQuery, and Cloud Pub/Sub. 3. DevOps Tools:o Proficiency in DevOps tools like Terraform, Ansible, Stratus, GitLab CI/CD, or Cloud Build.o Experience with containerization tools like Docker. 4. Kubernetes Expertise:o In-depth knowledge of Kubernetes concepts such as pods, deployments, services, ingress, config maps, and secrets.o Familiarity with Kubernetes tools like kubectl, Helm, and Kustomize. 5. Programming and Scripting:o Strong scripting skills in Python, Bash, or Go.o Familiarity with YAML and JSON for configuration management. 6. Monitoring and Logging:o Experience with monitoring tools like Prometheus, Grafana, or Google Cloud Operations Suite. 7. Networking:o Understanding of cloud networking concepts, including VPCs, subnets, firewalls, and load balancers.8. Soft Skills: o Strong problem-solving and troubleshooting skills.o Excellent communication and collaboration abilities.o Ability to work in an agile, fast-paced environment.

What you get to do Operate as a start-up within a highly influential InsureTech company Drive engineering best practices such as TDD and GitOps Lead the team in architecture and design Develop and ship scalable and cloud native software systems Create and maintain cloud infrastructure using AWS, Kubernetes, and IaC Employ Machine Learning and AI to improve user experience Learn through pair programming What we like you to have An entrepreneurial spirit and a leadership mindset An attitude for learning, sharing, innovation, and helping others succeed Minimum 5 years of experience as a software developer or a system engineer Strong programming experience in Java, Go, Python or any high level languages Proficiency in public cloud technologies (AWS preferably), Containerization, Kubernetes, CI/CD systems, and DevOps practices. BS/BA degree in Computer Science, Computer Engineering, or related fields. Role & responsibilities

Senior Python Developer (6 Years Experience)LocationPune/BangaloreEmployment TypeFull-time/ContractExperience6 YearsRole Overview:We are seeking a Senior Python Developer with 6 years of experience, specializing in database technologies like DB2 or Snowflake. The ideal candidate will have a strong background in backend development, data processing, and performance optimization. Experience with Java is a plus.Key ResponsibilitiesDesign, develop, and maintain scalable and efficient Python applications. Work extensively with DB2 or Snowflake for data modeling, query optimization, and performance tuning. Develop and optimize SQL queries, stored procedures, and data pipelines. Collaborate with cross-functional teams to integrate backend services with frontend applications. Implement best practices for code quality, security, and performance. Write unit tests and participate in code reviews. Troubleshoot and resolve production issues Required Skills: 6 years of experience in Python development. Strong experience with DB2 or Snowflake (SQL tuning, stored procedures, ETL workflows). Hands-on experience with Python frameworks such as Flask, Django, or FastAPI. Proficiency in writing complex SQL queries and database optimization. Experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines. Familiarity with version control (Git) and Agile methodologies.Good to HaveExperience in Java for backend services or microservices. Knowledge of Kafka, RabbitMQ, or other messaging systems. Exposure to containerization tools like Docker and Kubernetes.

What you get to do Operate as a start-up within a highly influential InsureTech company Drive engineering best practices such as TDD and GitOps Lead the team in architecture and design Develop and ship scalable and cloud native software systems Create and maintain cloud infrastructure using AWS, Kubernetes, and IaC Employ Machine Learning and AI to improve user experience Learn through pair programming What we like you to have An entrepreneurial spirit and a leadership mindset An attitude for learning, sharing, innovation, and helping others succeed Minimum 5 years of experience as a software developer or a system engineer Strong programming experience in Java, Go, Python or any high level languages Proficiency in public cloud technologies (AWS preferably), Containerization, Kubernetes, CI/CD systems, and DevOps practices. BS/BA degree in Computer Science, Computer Engineering, or related fields. Role & responsibilities

Servicenow Developer ITSM Secondary Skills - MS Azure Certifications (if any) Job description ServiceNow Administrator Overview We are seeking a skilled ServiceNow Developer with 10-12 years of experience to join our dynamic team The ideal candidate will have a strong background in, configuration, day-to-day administration, manage and optimize ServiceNow platform Responsibilities Set-up, configuration and day-to-day administration of the ServiceNow platform including conducting changes to the platform e g , overseeing integration with new systems Responsible for error identification and remediation and ensuring that system and database management conforms to policy and standards Provides support to end user, support teams and suppliers (including adding users) that are involved in IT Service Management Manages lifecycle of change of Software versions of ServiceNow, plans and implements upgrades and conversions Manages instance security including password standards, user/group access, access control rules and auditing Monitors and maintains the agreed levels of availability, security, performance and operational capability of ServiceNow Day-to-day management of the product service backlog: actively limiting work in progress, removing blockers and prioritising the flow of work to ensure that the user need is paramount in all delivery Proactive identification and execution of platform enhancements to maximise value, inputting into roadmaps and continual improvement plans for the platform Advanced automation including workflow and system integration Technical governance to ensure a seamless user experience that aligns with the platform design strategy Responsible for technical documentation, compliance Experience and Qualification Bachelors degree in computer science, Information Technology, or a related field (or equivalent experience) Minimum 5 years of experience as a ServiceNow Administrator Strong knowledge of ServiceNow administration, configuration, and customization Experience with scripting (JavaScript, Glide, REST/SOAP APIs) Understanding of ITSM and ITIL frameworks ServiceNow Admin certification Knowledge of Azure, Google Cloud, LDAP, SSO, and Active Directory integrations Strong problem-solving, analytical, and communication skills Experience with Agile or Scrum methodologies Location: Chandigarh,Dadra & Nagar Haveli,Hyderabad,Jammu,Lakshadweep,Nagar,New Delhi,Puducherry,Daman,Diu,Goa,Haveli,Sikkim

Pay Range: 15 - 25 LPA (INR) Required Qualifications: 3–5 years of hands-on experience in Big Data engineering. Proficiency in Python (Java is a plus). Strong understanding of Google Cloud Platform (GCP) services and architecture. GCP certification is a plus. Solid problem-solving skills and a structured thought process. Experience with data migration and cloud-native development is highly desirable. Experience with building RESTful APIs Thorough understanding of JSON, and data structure fundamentals Expertise in objected oriented analysis and design across a variety of platforms Fundamental knowledge of distributed computing and Experience in Big Data Technologies like Spark, Hive, distributed computing. Experience with workflow scheduling tools. Airflow experience is desirable. Demonstrated experience in Agile development, application design, software development, and testing Hands-on expertise with application design, software development and automated testing Experience with distributed (multi-tiered) systems, algorithms, and relational databases Aptitude for learning and applying programming concepts Ability to effectively communicate with internal and external business partners Nice to Have: Experience working in hybrid teams and agile environments. Exposure to GenAI or AI/ML-based applications. Familiarity with vendor collaboration (e.g., Infosys, IBM, CDS). About the Role: Insight Global is seeking a skilled and motivated Big Data Engineer to join our clients GenAI applications team based out of India. This role is part of a strategic initiative to migrate their data infrastructure from on-premise to Google Cloud Platform (GCP). You will work closely with a high-performing team of engineers and leaders to build scalable data solutions and support cloud-native application development.

Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes.Automate deployment, monitoring, and management of applications using Ansible and Python.Collaborate with development teams to ensure seamless integration and deployment.Implement and manage CI/CD pipelines to streamline software delivery.Monitor system performance and troubleshoot issues to ensure high availability and reliability.Ensure security best practices for containerized environments.Provide support and guidance for development and operations teams. Required Skills and Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.Proven experience as a DevOps Engineer or in a similar role.Extensive experience with Docker and Kubernetes.Strong proficiency in Python and Ansible.Solid understanding of CI/CD principles and tools.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.Excellent problem-solving and troubleshooting skills.Strong communication and teamwork skills. Preferred Qualifications:Experience with infrastructure-as-code tools like Terraform.Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).Familiarity with Agile development methodologies.Experience with containerization technologies like Docker and Kubernetes.

Bengaluru, India DevOps BCM Industry 25/04/2025 Project description 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. Other Languages EnglishC2 Proficient Seniority Senior

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey. As a Engineer, you ll take the lead as you You will build applications for Target s MLPlatform to enable capabilities to help data scientists, ML engineers and Data engineers at Target . You will be part of a team building highly scalable, event driven applications and leverage technologies. You understand Target's business and technical environments, resolve complex challenges via technical solutions as well as be a significant code contributor, manage software development cycle, drive best practices and ensure development of high-quality code with compliance & security standards. The Engineer is a practitioner of rapid prototyping and Agile, DevOps, CI/CD, test-driven development and stays current with new technology to be able to assess viability and applicability to Target's business and technical environments. Tech stack Java, SpringBoot, Microservices, Python, Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills About you: 4 year degree or equivalent experience 1.5+ years of software development experience Experience in building applications using JVM languages like Java, Kotlin Exposure in building high-performance scalable APIs. Good to have experience in building Python applications, Fast API etc Good to have Machine Learning Engineer skills Having GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills would be added advantage Experience in microservices, Spring Boot, cloud development, NoSQL databases, and event driven architecture Experience with NoSQL technologies Cassandra, Elastic search, MongoDB is a plus Deep experience writing unit and functional tests and test-driven development Experience building CI/CD pipelines Strong problem solving and debugging skills

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE Project Role :Software Development Engineer Project Role Description :Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have Skills :PySparkGood to Have Skills :No Industry SpecializationJob :Key Responsibilities :Overall 8 years of experience working in Data Analytics projects, Work on client projects to deliver AWS, PySpark, Databricks based Data engineering Analytics solutions Build and operate very large data warehouses or data lakes ETL optimization, designing, coding, tuning big data processes using Apache Spark Build data pipelines applications to stream and process datasets at low latencies Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience :Minimum of 2 years of experience in Databricks engineering solutions on any of the Cloud platforms using PySpark Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture delivery Minimum 3 year of Experience in one or more programming languages Python, Java, Scala Experience using airflow for the data pipelines in min 1 project 2 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform. Must be able to understand ETL technologies and translate into Cloud (AWS, Azure, Google Cloud) native tools or Pyspark. Professional Attributes :1 Should have involved in data engineering project from requirements phase to delivery 2 Good communication skill to interact with client and understand the requirement 3 Should have capability to work independently and guide the team. Educational Qualification:Additional Info : Qualification BE

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 : Infrastructure As Code (IaC) Good to have skills : Microsoft Azure Sentinel Minimum 5 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 assist clients in implementing effective solutions. Your typical day will involve engaging with clients to understand their needs, facilitating discussions on transformation, and ensuring that the technology and business solutions align with their requirements. You will work collaboratively with various teams to translate customer needs into actionable plans, driving the customer journey and application designs to achieve optimal outcomes. 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 workshops and meetings to gather requirements and feedback from stakeholders. Develop and maintain documentation related to integration processes and solutions. Develop, maintain, and test Hashicorp Terraform modules for infrastructure as code (IaC) Design, implement, and manage Sentinel policies as code to enforce security and compliance standards Collaborate with development, operations, and security teams to integrate security practices into the CI/CD pipeline Automate infrastructure provisioning, configuration management, and application deployment processes Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance Conduct security assessments and audits to identify vulnerabilities and implement remediation measures Stay up-to-date with the latest industry trends, tools, and best practices in DevSecOps, Terraform, and Sentinel Professional & Technical Skills: Must To Have Skills: Proficiency in Infrastructure As Code (IaC). Good To Have Skills: Experience with Microsoft Azure Sentinel. Strong understanding of cloud infrastructure and deployment strategies. Experience with automation tools and frameworks for infrastructure management. Familiarity with version control systems and CI/CD pipelines. Proven experience (min. 5 years) as a DevSecOps/Cloud Engineer or similar role Strong expertise in Hashicorp Terraform and infrastructure as code (IaC) principles Proficiency in developing and managing Sentinel policies as code Experience with CI/CD tools such as GitHub, GitHub Actions, Jenkins, and JFrog Platform Solid understanding of cloud platforms, specifically Google Cloud Platform (GCP) and Microsoft Azure Knowledge of containerization technologies (Docker, Kubernetes) and orchestration Familiarity with security frameworks and compliance standards (e.g., NIST, ISO 27001) Certifications in Terraform, GCP, or Azure (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert). Experience with scripting languages (Python, Bash, PowerShell). Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack). Additional Information: The candidate should have minimum 5 years of experience in Infrastructure As Code (IaC). This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Banking & Financial Services Analytics Title :- Consultant Level 9 Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network Data & AI :- Accenture 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. Role Overview :- As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, youll improve the future of the global financial services industry. Accenture serves the worlds leading financial services organisations across three industry groups Central Banks:Monetary authorities, reserve banks across globe Banking :Retail and commercial banks and diversified financial institutions. Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. What's in it for you You'll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies What you would do in this role Work closely with clients to understand their business goals and challenges. Develop data strategies aligned with business objectives and industry best practices. Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights Develop and implement predictive models to assess and manage financial risks, leveraging advanced data science techniques. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Help in responding to RFP's and design POVs Working across client teams to develop and architect Generative AI solutions using ML and GenAI Implement data security measures to safeguard sensitive financial information and ensure adherence to industry standards. Qualifications Who we are looking for? 3-8+ years of experience in Data Scienece preferably with financial services clients Bachelors or masters degree in a relevant field Computer Science / Statistics / Data Science / Econometrics / Economics / Engineering from reputed institute or MBA from Tier1 colleges Proficiency in programming languages such as Python, R, Scala,pyspark Possess strong analytical skills to derive meaningful insights from complex data sets Experience with data visualization tools (Tableau, Power BI, etc.) Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing; understanding of ML model lifecycle would be an asset Experience in Supervisory analytics (like Network Analytics, IFRS9 / Basel, Risk Analytics, Balance of Payments Analytics, Licensing analytics, AML etc) is a plus Strong domain experience in one of the following: Central banks (Monetary / Regulatory / Compliance / BASEL), Commercial Banking, Asset & Wealth management Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Experience with any Cloud Technologies (MS Azure, GCP, AWS) Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.) is a plus. Excellent communication and client-facing skills Ability to work independently and collaboratively in a team Project management skills and the ability to manage multiple tasks concurrently Strong written and oral communication skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Banking & Financial Services Analytics Title :- Analyst – Level 11 Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network – Data & AI :- Accenture 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. Role Overview :- As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, youll improve the future of the global financial services industry. Accenture serves the worlds leading financial services organisations across three industry groups – Central Banks:Monetary authorities, reserve banks across globe Banking:Retail and commercial banks and diversified financial institutions. Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. What's in it for you You'll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies What you would do in this role Collect, organize, and analyze large datasets to identify trends, patterns, and insights. Conduct in-depth analysis of customer data, transactional data, and market trends to provide actionable insights for business decision-making Use machine learning tools and statistical techniques to interpret data and provide meaningful conclusions. Work with latest technologies in data science, including emerging tools like GENAI. Develop and implement data-driven strategies to identify cross-selling opportunities within the customer base. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Design and implement advanced recommendation algorithms to enhance personalized customer experiences across digital channels Deploy models into production environments and implement monitoring mechanisms to ensure ongoing performance. Prepare and present clear and concise reports, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Banking & Financial Services Analytics Title :- Analyst – Level 11 Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network – Data & AI :- Accenture 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. Role Overview :- As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, youll improve the future of the global financial services industry. Accenture serves the worlds leading financial services organisations across three industry groups – Central Banks:Monetary authorities, reserve banks across globe Banking:Retail and commercial banks and diversified financial institutions. Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. What's in it for you You'll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies What you would do in this role Collect, organize, and analyze large datasets to identify trends, patterns, and insights. Conduct in-depth analysis of customer data, transactional data, and market trends to provide actionable insights for business decision-making Use machine learning tools and statistical techniques to interpret data and provide meaningful conclusions. Work with latest technologies in data science, including emerging tools like GENAI. Develop and implement data-driven strategies to identify cross-selling opportunities within the customer base. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Design and implement advanced recommendation algorithms to enhance personalized customer experiences across digital channels Deploy models into production environments and implement monitoring mechanisms to ensure ongoing performance. Prepare and present clear and concise reports, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders Qualifications Who we are looking for? 1-3 years of experience in Data Science preferably with financial services clients Engineering graduates (4 year course) or master’s degree in a relevant field – Computer Science / Statistics / Data Science / Econometrics / Economics from reputed institute Proven experience in developing ML and statistical models Proficiency in programming languages such as Python, R, Scala Any experience in Generative AI is a plus. Proficiency in any one of the Cloud solutions – Azure, GCP or AWS Strong SQL skills for data manipulation and analysis Experience with data visualization tools (Tableau, Power BI, etc.) Knowledge of machine learning algorithms (Decision trees, Random Forest, XGBoost etc), deep learning models and statistical modeling techniques Excellent communication and client-facing skills Ability to work independently and collaboratively in a team Strong written and oral communication skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Management Level :09 - Senior Consultant Location :Gurgaon/Bangalore/Mumbai Must have skills :Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes Good to have skills :PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions Job Summary : Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Model Deployment :Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud). API Development :Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications. Client Collaboration :Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs. Generative AI Model Integration :Integrate generative AI models into existing workflows, applications, and platforms via APIs. Performance Optimization :Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences. Data Pipeline Development :Build and maintain data pipelines to support real-time or batch processing for generative AI models. Security and Compliance :Implement security best practices and ensure APIs comply with data privacy and regulatory standards. Documentation :Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides. Testing and Monitoring :Develop automated testing frameworks and monitoring systems to ensure API reliability and performance. Stay Updated :Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients. Professional & Technical Skills: 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs). Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch ). Expertise in API Development and deployment, with hands-on experience with Docker , Kubernetes , and cloud platforms (AWS, GCP, Azure). Ability to build and optimize data pipelines for generative AI models. Knowledge of security best practices and ensuring compliance with regulatory standards. Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions. Excellent communication skills, capable of conveying complex technical concepts to diverse audiences. Additional Information: Experience with large-scale data processing and expertise in NLP or computer vision . Contributions to open-source AI/ML projects . Experience with cloud integrations , big data technologies , and performance optimization . Familiarity with security standards and regulatory compliance in AI solutions. Qualifications Experience :Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development . Educational Qualification :Bachelors or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Banking & Financial Services Analytics Title :- Manager Level 7 Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network Data & AI :- Accenture 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. Role Overview :- As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, youll improve the future of the global financial services industry. Accenture serves the worlds leading financial services organisations across three industry groups Central Banks:Monetary authorities, reserve banks across globe Banking :Retail and commercial banks and diversified financial institutions. Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. What's in it for you You'll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies What you would do in this role Incumbent will lead engagements for FS clients and develop data strategies aligned with business objectives and industry best practices Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Assesses and manages risks and issues, ultimately ensuring that project objectives are achieved. Develops and maintain strong trust-based relationships with clients Managing activities and deliverables against plan, reviewing draft output, and providing feedback/coaching to project team members Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. People Development:Develop a team of professionals to enable growth Perform role of counselor and coach, provide input and guidance into the firm's staffing process, and actively participate in staff recruitment and retention activities Qualifications Who we are looking for? 8+ years of experience in analytics preferably with financial services clients Bachelors or masters degree in a relevant field Computer Science / Statistics / Operational Research / Data Science / Econometrics / Economics / Engineering or MBA from reputed institute High skilled and experienced manager of Data science in Financial services domain who has experience in GenAI, Supervisory analytics (like Network Analytics, IFRS9 / Basel, Risk Analytics, Balance of Payments Analytics, Licensing analytics, AML etc) Strong domain experience in one of the following: Central banks (Monetary / Regulatory / Compliance / BASEL), Commercial Banking, Asset & Wealth management Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects

Job Title - Gen AI Agentic Innovation Manager Management :07 Manager Location:Delhi/ Mumbai/Bangalore/Gurgaon/Hyderabad Must have skills:Generative AI Good to have skills:in marketing transformation, digital consulting, or GenAI strategy agentic AI, Marketing OS experience. Experience:Minimum 7 13 years of experience is required Educational Qualification:MBA Job Summary : The Strategy & Consulting Global Network Song (S&C GN Song) practice works with clients across their marketing, sales and services and customer engagement functions. Our services help our clients become living businesses by optimizing their marketing, sales, and customer service strategy, thereby driving cost reduction, enhancing revenue, improving customer satisfaction, and impacting front end business metrics in a positive manner. We are seeking a forward-thinking and technically astute Manager to drive business growth and deliver GenAI-powered marketing automation through Agentic AI solutions. This role is ideal for a strategic problem-solver with deep expertise in marketing process automation, modular AI agent design, and martech integration. As a trusted advisor to senior stakeholders, you will lead the creation and deployment of intelligent, agentic capabilities across the marketing value chain. You will play a pivotal role in identifying automation opportunities, designing integrated agentic solutions using the latest LLMs and Agency OS, and aligning them with clients marketing ecosystems. You will also lead consultative solutioning, value case development, and influence stakeholders across business, marketing, and technology. Roles & Responsibilities: Bring a thought leadership lens to emerging technologiestranslating GenAI trends, agentic workflows, and ecosystem capabilities into real-world, client-ready solutions. Lead the development of transformation strategies by integrating Microsoft Gen AI and agentic marketing capabilities into client ecosystems. Lead strategic assessments of current marketing capabilities and define GenAI-led reinvention roadmaps, future operating models, future-fit capabilities and process designs. Envisioning and engaging in client conversations on leveraging Microsofts GenAI and agentic capabilities to drive existing business relationships and build new opportunities. Collaborate closely with solution architects, Data & AI teams, and Microsoft SMEs to design and implement comprehensive, scalable marketing solutions. Guide clients through the design and implementation of future-fit marketing organization blueprints, enabling them to leverage cutting-edge technology and AI. Drive consultative selling and engagement with clients, identifying opportunities to bring Microsofts Gen AI solutions to solve their marketing challenges. Develop offerings and client solutions that align with Microsoft's ecosystem, ensuring they meet client needs while integrating AI-powered marketing strategies. Champion cross-functional collaboration across teams and stakeholders to ensure alignment and effective execution of marketing strategies. Build strong client relationships, influencing decision-making and guiding clients through digital transformation in marketing. Lead, Coach and build cross functional teams to embed Microsofts AI/GenAI capabilities into core ways of working across marketing services. Professional & Technical Skills: MBA from a Tier 1 institute with a focus in Marketing, Strategy, or Technology 13-20 years of experience with at least 4 years in marketing strategy, Gen AI, agentic AI, agency experience, and Marketing OS Experience. Proven experience in creating and executing GenAI-led marketing transformation strategies, with a focus on leveraging Microsofts Gen AI capabilities. In-depth knowledge of Microsofts marketing technology stack, including agentic AI solutions, to drive future-ready marketing organization strategies. Manage C Suite and identify and drive new business in Generative AI engagements. Strong background in consulting and developing client-centric solutions, combining the best of technology, AI, and martech to address complex marketing challenges. Hands-on experience with Agentic solutioning and architecture design, LLMs and Generative AI frameworks (OpenAI, Anthropic, etc.) Demonstrated expertise in cross-functional collaboration, working closely with technical teams (solution architects, Data & AI) and business teams to drive successful outcomes. Experience in consultative selling, working directly with clients to design, propose, and deliver transformation roadmaps that leverage Microsoft technologies. Solid understanding of change management methodologies, including the ability to lead clients through upskilling, transformation, and technology adoption. Analytical mindset and problem-solving skills, with the ability to identify opportunities for AI-powered optimization in marketing processes. Experience in working with clients across multiple industries like CPG, S&P, Finance, Lifesciences, etc. Additional Information: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. About Our Company | AccentureQualification Experience:Minimum 7 13 years of experience is required Educational Qualification:MBA

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP PO/PI & APIs Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the development process and ensuring successful project delivery. 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- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP PO/PI & APIs Development- Strong understanding of integration technologies- Experience in designing and implementing APIs- Knowledge of SAP Process Orchestration- Hands-on experience in troubleshooting and resolving technical issues Additional Information:- The candidate should have a minimum of 5 years of experience in SAP PO/PI & APIs Development- 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 Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Teradata BI Good to have skills : Informatica PowerCenter, AlteryxMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring successful project delivery. 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- Lead the application development process- Ensure successful project delivery- Mentor junior team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Teradata BI- Good To Have Skills: Experience with Informatica PowerCenter, Alteryx, Google Cloud Platform Architecture- Strong understanding of data warehousing concepts- Experience in ETL processes and data integration- Knowledge of SQL and database management- Ability to troubleshoot and resolve technical issues Additional Information:- The candidate should have a minimum of 7.5 years of experience in Teradata BI- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Microsoft Azure Modern Data Platform, Microsoft Azure Architecture, Microsoft Azure PaaS Minimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a MS-Azure Sales Origination specialist, you will be responsible for solution selling to customers in the US and European markets based on credible experience you have acquired through Azure design and deployments at your clients. Your typical day will involve identifying and owning sales opportunities, guiding solution architecture teams, and providing broad practitioner guidance to the team. Roles & Responsibilities: Lead sales origination for customers in the US and EMEA for opportunities in the design and deployment of the Azure platform (loadset migration, Azure native application deployments, AL/ML deployments) to clients, ensuring alignment with business goals and objectives. Own Sales origination, including proposal development, client presentations, and guidance to solution architecture teams. Provide technical guidance and leadership to the solution development team, to help them develop solutions using the Azure platform components. Lead sales origination based on experience acquired through professional services selling in the US and/or EMEA markets, design and implementation Azure, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams, including business stakeholders, data scientists, and engineers, to ensure successful project launch. Professional & Technical Skills: Must To Have Skills:Professional Services sales, Azure expertise, broad Data & AI Solution Architecture. Strong understanding of Azure technology components, including loadset migration, AI/ML, and cloud native deployments Experience with Azure and broad knowledge of other cloud platforms such as GCP and Azure. Experience with agile methodologies and project management tools, including Jira/Azure DevOps and Confluence. Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders. Additional Information: The candidate should have a minimum of 15 years of experience in platform provisioning, cloud native deployments and broad technology. The ideal candidate will possess a strong educational background in computer science, data science, or a related field, along with a proven track record of delivering impactful cloud solutions. This position is based at our Bengaluru office. Qualification BE