435 S3 Jobs - Page 15

Hi Everyone Greetings from Intuition IT Global Recruitment Firm We hav an Exciting Job opportunity for Devops with AI Platform and Data science with our leading Client Location PAN India (Remote) Job Type: Long term Contract Job Description : Support Platform which offers infrastructure to Data science/Data Analytics/MLOps teams Resolution of issues for provisioning of new use cases in AI Platform Resolution of incidents and services requests related to AI Platform Collaborate with IAM teams for accounts provisioning Co-ordinate with other teams from Platform - AWS, Snowflake, Data bricks etc Monitor CI/CD pipelines in AI Platform Proficient in tools like AWS ( IAM, S3, EKS, SAGEMAKER, ACM, ECR, RDS, Secrets Manager, Lambda, Step Functions) DevOps tools - Jenkins, Bitbucket, Jfrog, SonarQube, Checkmarx, Kubernetes, Docker etc responsibilities Please share cv to this email id : maheshwari.p@intuition-IT.com Preferred candidate profile

Experience: 10+ Years Job Description: Role Overview: We are seeking an experienced AWS Data & Analytics Architect with a strong background in delivery and excellent communication skills. The ideal candidate will have over 10 years of experience and a proven track record in managing teams and client relationships. You will be responsible for leading data modernization and transformation projects using AWS services. Key Responsibilities: Lead and architect data modernization/transformation projects using AWS services. Manage and mentor a team of data engineers and analysts. Build and maintain strong client relationships, ensuring successful project delivery. Design and implement scalable data architectures and solutions. Oversee the migration of large datasets to AWS, ensuring data integrity and security. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Ensure best practices in data management and governance are followed. Required Skills and Experience: 10+ years of experience in data architecture and analytics. Hands-on experience with AWS services such as Redshift, S3, Glue, Lambda, RDS, and others. Proven experience in delivering 1-2 large data migration/modernization projects using AWS. Strong leadership and team management skills. Excellent communication and interpersonal skills. Deep understanding of data modeling, ETL processes, and data warehousing. Experience with data governance and security best practices. Ability to work in a fast-paced, dynamic environment. Preferred Qualifications: AWS Certified Solutions Architect Professional or AWS Certified Big Data Specialty. Experience with other cloud platforms (e.g., Azure, GCP) is a plus. Familiarity with machine learning and AI technologies.

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

About the Role: Grade Level (for internal use): 10 S&P Global Dow Jones Indices The Role Senior Development Engineer Python Full Stack S&P Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for a Senior Development Engineer with full stack experience to join our technology team. This is mostly a back-end development role but will also support UI development work. The Team : You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, design, development and testing. Responsibilities and Impact You will be working on one of the key systems that is responsible for calculating re-balancing weights and asset selections for S&P indices. Ultimately, the output of this team is used to maintain some of the most recognized and important investable assets globally. Development of RESTful web services and databases; supporting UI development requirements. Interfacing with various AWS infrastructure and services, deploying to Docker environment. Coding, Documentation, Testing, Debugging, Documentation and tier-3 support. Work directly with stakeholders and technical architect to formalize/document requirements for both supporting existing application as well as new initiatives. Perform Application & System Performance tuning and troubleshoot performance issues. Coordinately closely with the QA team and the scrum master to optimize team velocity and task flow. Helps establish and maintain technical standards via code reviews and pull requests Whats in it for you This is an opportunity to work on a team of highly talented and motivated engineers at a highly respected company. You will work on new development as well as enhancements to existing functionality. What Were Looking For: Basic Qualifications 7 - 10 years of IT experience in application development and support, primarily in a back-end API and database development roles with at least some UI development experience. Bachelor's degree in Computer Science, Information Systems, Engineering or, or in lieu, a demonstrated equivalence in work experience. Proficiency in modern Python 3.10+ (minimum 4 years dedicated, recent Python experience) AWS services experience including API Gateway, ECS / Docker, DynamoDB, S3, Kafka, SQS. SQL database experience, with at least 1 year of Postgres. Python libraries experience including Pydantic, SQLAlchemy and at least one of (Flask, FastAPI, Sanic), focusing on creating RESTful endpoints for data services. JavaScript / Typescript experience and at least one of (Vue 3, React, Angular) Strong unit testing skills with PyTest or UnitTest, and API testing using Postman or Bruno. CI/CD build process experience using Jenkins. Experience with software testing (unit testing, integration testing, test driven development). Strong Work Ethic and good communication skills. Additional Preferred Qualifications : Basic understanding of financial markets (stocks, funds, indices, etc.) Experience working in mission-critical enterprise organizations A passion for creating high quality code and broad unit test coverage. Ability to understand complex business problems, break into smaller executable parts, and delegate.

The Team We are seeking an experienced, technically strong TechOps Engineer to join a global team that delivers specialized technical support of major product deliverables and availability of our products. This role focuses on continuously improving support processes through collaboration centralizing on proactive, technical and innovative engagements across business stakeholders, operations and development teams. Responsibilities Apply strong technical skills and good business knowledge together with investigative techniques to identify and resolve issues efficiently and in a timely manner Immerse in the business domain, identify and implement innovative solutions and technologies that enhance system and application monitoring Demonstrate excellent communication skills valuable for managing service incidents and working collaboratively with other teams Implement and monitor system alerts for early detection and mitigation of potential service incidents Involve and contribute solutions that address system and application vulnerabilities Constantly coordinate with product and development teams to ensure support readiness of new releases and enhancements Work on tooling, solutions and automation of operational support functions Education and experience University Graduate with Bachelors Degree in Computer Science or Computer Engineering related degree. Exp - 4+ years of exp Extensive experience in an Application Support role Experience working on AWS cloud technologies (Lambda, SQS, SNS, S3, Dynamo DB, Step Functions, EC2, Fargate etc.) Must be knowledgeable in SDLC and experience in raising development bugs including priority assessment, high quality analysis, and detailed investigation Must have fundamental working knowledge of RDBMS (Oracle, SQL server and RDS) including stored procs, complex joins, database query plan analysis and monitoring Broad knowledge of server administration across different operating systems such as Linux and Windows technologies. Good shell scripting experience is a must. Ability to use python scripting is an advantage Ideally familiar with monitoring tools such as DataDog, PagerDuty, Splunk and Centreon Demonstrable experience of working on highly transactional, available and scalable business critical systems Good understanding of software architecture; understanding component and application breakdown and interaction Commercial awareness Knowledge of, or experience of working in the financial services industry would be a plus Excellent understanding of software systems and technology Good understanding of software support team functions and a solid understanding of the end to end application development process. A strong desire to keep up with all of the latest developments in related technologies Personal competencies Confident individual who can represent the team at various levels. Excellent analytical and problem-solving skills Ability to carry out business impact analysis and prioritize tasks according to severity and importance Communication Must be a strong communicator both written and verbally in English Excellent listening, presentation and interpersonal skills Ability to communicate ideas in both technical and user-friendly languages Teamwork Ideal candidate is a self-starter capable of working independently as well as contribute to the teams requirements Be able to work flexible shift hours including weekends to meet work requirements and project deadlines

We are seeking an experienced Amazon Redshift Developer / Data Engineer to design, develop, and optimize cloud-based data warehousing solutions. The ideal candidate should have expertise in Amazon Redshift, ETL processes, SQL optimization, and cloud-based data lake architectures. This role involves working with large-scale datasets, performance tuning, and building scalable data pipelines. Key Responsibilities: Design, develop, and maintain data models, schemas, and stored procedures in Amazon Redshift. Optimize Redshift performance using distribution styles, sort keys, and compression techniques. Build and maintain ETL/ELT data pipelines using AWS Glue, AWS Lambda, Apache Airflow, and dbt. Develop complex SQL queries, stored procedures, and materialized views for data transformations. Integrate Redshift with AWS services such as S3, Athena, Glue, Kinesis, and DynamoDB. Implement data partitioning, clustering, and query tuning strategies for optimal performance. Ensure data security, governance, and compliance (GDPR, HIPAA, CCPA, etc.). Work with data scientists and analysts to support BI tools like QuickSight, Tableau, and Power BI. Monitor Redshift clusters, troubleshoot performance issues, and implement cost-saving strategies. Automate data ingestion, transformations, and warehouse maintenance tasks. Required Skills & Qualifications: 6+ years of experience in data warehousing, ETL, and data engineering. Strong hands-on experience with Amazon Redshift and AWS data services. Expertise in SQL performance tuning, indexing, and query optimization. Experience with ETL/ELT tools like AWS Glue, Apache Airflow, dbt, or Talend. Knowledge of big data processing frameworks (Spark, EMR, Presto, Athena). Familiarity with data lake architectures and modern data stack. Proficiency in Python, Shell scripting, or PySpark for automation. Experience working in Agile/DevOps environments with CI/CD pipelines.

Hiring: DevOps Engineer Immediate Joiners Location: Offshore (Chennai / Bangalore preferred) Experience: 5+ Years We’re looking for a DevOps Engineer to support our web and mobile dev teams with CI/CD, GitLab, and automation tooling. Key Skills: GitLab CI/CD, Docker, Terraform Kubernetes (Rancher a plus), Helm, Bash/NodeJS scripting AWS, S3, Infra-as-Code Mobile DevOps exposure, iOS tooling, JFrog Artifactory Agile experience, strong troubleshooting skills Join us immediately! Send your resume or DM now. #DevOps #ImmediateJoiner #GitLab #Terraform #Docker #AWS #HiringNow #ChennaiJobs #BangaloreJobs

Position: Senior AWS Data Engineer - Interested candidates can send their resumes to heena.ruchwani@gspann.com Experience: 6+ Years Locations: Pune, Hyderabad, Gurugram, Bangalore Notice Period: Immediate to 30 Days Preferred Job Description: We are hiring a Senior AWS Data Engineer to join our growing team. The ideal candidate will have deep expertise in AWS data services, strong ETL experience, and a passion for solving complex data problems at scale. Key Responsibilities: Design and develop scalable, high-performance data pipelines in AWS Work with services like Glue, Redshift, S3, EMR, Lambda, and Athena Build and optimize ETL processes for both structured and unstructured data Collaborate with cross-functional teams to deliver actionable data solutions Implement best practices for data quality, security, and cost-efficiency Required Skills: 6+ years in Data Engineering 3+ years working with AWS (Glue, S3, Redshift, Lambda, EMR, etc.) Proficient in Python or Scala for data transformation Strong SQL skills and experience in performance tuning Hands-on experience with Spark or PySpark Knowledge of data lake and DWH architecture Nice to Have: Familiarity with Kafka, Kinesis, or real-time data streaming Exposure to Terraform or CloudFormation Experience with CI/CD tools like Git and Jenkins How to Apply: Interested candidates can send their resumes to heena.ruchwani@gspann.com

Expert-level exp in backend development using .NetCore, C# & EF Core. Strong expertise in PostgreSQL & efficient database design. Proficient in building & maintaining RESTful APIs at scale. Strong frontend dev exp with ReactJS, JavaScript, TypeScript Required Candidate profile Proficiency in HTML5, CSS3, and responsive design best practices. Hands-on experience with AWS Cloud Services, specifically designing systems with SNS, SQS, EC2, Lambda, and S3.

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs EndToEnd Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / VectorDBs / AIAgents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

Description:Hands-on experience with AWS services including S3, Lambda,Glue, API Gateway, and SQS.Strong skills in data engineering on AWS, with proficiency in Python ,pyspark & SQL.Experience with batch job scheduling and managing data dependencies.Knowledge of data processing tools like Spark and Airflow.Automate repetitive tasks and build reusable frameworks to improve efficiency.Provide Run/DevOps support and manage the ongoing operation of data services. Location - Bangalore, Mumbai, Pune, Chennai, Kolkata, Hyderabad

With a deep focus on TypeScript, they are developing both the frontend (React/Next.js) and backend (Node.js/NestJS) of the platform. In addition, they are also responsible for the cloud infrastructure, including the setup of CI/CD pipelines, deployment processes, and monitoring via AWS services. They bring a solution-oriented mindset, strong communication skills (English), and a high level of ownership and reliability to the teamcontributing across all areas of the product development lifecycle. Language TypeScript (Fullstack) Frontend React (Next.js) - Tailwind CSS or MUI Backend Node.js with Express or NestJS Mobile (optional) React Native (Expo) Cloud AWS (e.g. EC2, ECS, Fargate, Lambda, S3, RDS) DevOps Docker, GitHub Actions (CI/CD), Monitoring Database PostgreSQL, Redis, DynamoDB Soft-Skills - Clear and proactive communication across time zones - Critical thinking and solution-oriented mindset - High reliability and ownership delivering consistent results - Collaborative working style that fits seamlessly into our startup culture - Continuous learning mentality, keeping up with best practices They dont just write code they contribute to product thinking, help us move fast without breaking things, and are a core part of our extended team.

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / Vector DBs / AI Agents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

We seek a seasoned Lead Full-Stack Engineer with 7+ years of expertise in front-end and back-end technologies and strong leadership and soft skills. The ideal candidate should be proficient in Angular, NodeJS, and Python, with additional experience in AWS, GoLang, and AI integration. This role requires availability to work within the EST time zone and will involve leading the development of innovative enterprise platforms while mentoring a team of engineers. Key Responsibilities : - Technical Leadership : Lead web application design, development, and maintenance using Angular and NodeJS. - Architect and optimize backend services and APIs using Python and GoLang. - Guide the integration of AI-driven features and tools into existing platforms. - Oversee the use of AWS cloud services for application deployment, scaling, and maintenance. - Monitor and optimize application performance on AWS. - Stay updated with emerging technologies and implement them in the development process. Team Collaboration and Soft Skills : - Mentorship : Mentor and guide junior engineers, fostering a collaborative and learning-oriented environment. - Communication : Effectively communicate technical concepts to both technical and non-technical stakeholders. - Problem-Solving : Proactively identify and resolve bottlenecks, ensuring smooth project delivery. Skills in the spotlight : - Front-End : Mastery in Angular for building dynamic user interfaces. - Back-End : Expertise in NodeJS and Python for developing scalable microservices. - Cloud : Extensive hands-on experience with AWS services (EC2, S3, Lambda, etc.). - Programming Languages : Advanced skills in GoLang for backend services. - AI : Proven experience in integrating AI/ML models into web or mobile applications. - DevOps : Strong knowledge of CI/CD pipelines and version control using Git. - Agile Methodologies : Proficiency in leading projects within Agile/Scrum environments. Preferred Qualifications : - Knowledge of additional JavaScript frameworks and libraries. - Experience with database management systems like MongoDB, PostgreSQL, or MySQL. - Familiarity with Docker and Kubernetes for containerization. - Understanding of secure coding practices and data protection.

Role: Lead Full Stack Engineer We seek a seasoned Lead Full-Stack Engineer with 7+ years of expertise in front-end and back-end technologies and strong leadership and soft skills. The ideal candidate should be proficient in Angular, NodeJS, and Python, with additional experience in AWS, GoLang, and AI integration. This role requires availability to work within the EST time zone and will involve leading the development of innovative enterprise platforms while mentoring a team of engineers. Key Responsibilities : - Technical Leadership : Lead web application design, development, and maintenance using Angular and NodeJS. - Architect and optimize backend services and APIs using Python and GoLang. - Guide the integration of AI-driven features and tools into existing platforms. - Oversee the use of AWS cloud services for application deployment, scaling, and maintenance. - Monitor and optimize application performance on AWS. - Stay updated with emerging technologies and implement them in the development process. Team Collaboration and Soft Skills : - Mentorship : Mentor and guide junior engineers, fostering a collaborative and learning-oriented environment. - Communication : Effectively communicate technical concepts to both technical and non-technical stakeholders. - Problem-Solving : Proactively identify and resolve bottlenecks, ensuring smooth project delivery. Skills in the spotlight : - Front-End : Mastery in Angular for building dynamic user interfaces. - Back-End : Expertise in NodeJS and Python for developing scalable microservices. - Cloud : Extensive hands-on experience with AWS services (EC2, S3, Lambda, etc.). - Programming Languages : Advanced skills in GoLang for backend services. - AI : Proven experience in integrating AI/ML models into web or mobile applications. - DevOps : Strong knowledge of CI/CD pipelines and version control using Git. - Agile Methodologies : Proficiency in leading projects within Agile/Scrum environments. Preferred Qualifications : - Knowledge of additional JavaScript frameworks and libraries. - Experience with database management systems like MongoDB, PostgreSQL, or MySQL. - Familiarity with Docker and Kubernetes for containerization. - Understanding of secure coding practices and data protection. Location : India

Location: India/Remote About the Job: We are seeking a seasoned Java Full Stack Enterprise Architect with 14 to 19 years of experience to lead and drive enterprise-level projects. The ideal candidate will have strong expertise in Java , AWS (Amazon Web Services) , Kafka , Docker , Kubernetes , and other cutting-edge technologies. This role requires experience in application transformation, modernization , and containerization initiatives. Prior experience in the healthcare industry is highly desirable. What you will do: Architectural Leadership Design and implement scalable, resilient, and secure full-stack solutions using Java and modern frameworks. Provide end-to-end architecture guidance for enterprise transformation and modernization projects. Define best practices for application design, development, deployment, and maintenance in a cloud-native environment. Cloud and AWS Solutioning Architect solutions leveraging AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB). Develop and maintain cloud migration strategies, ensuring high availability and cost optimization. Create detailed documentation, including solution designs and architectural diagrams. Containerization & Orchestration Lead the adoption of Docker and Kubernetes to containerize applications. Oversee the orchestration of microservices in distributed systems to ensure scalability and reliability. Define CI/CD pipelines to automate deployment processes. Data Streaming & Integration Design and implement event-driven architectures using Kafka. Ensure seamless integration across enterprise systems and data pipelines. Transformation & Modernization Drive legacy application modernization to microservices and cloud-native architecture. Assess current technology stack and recommend improvements to align with business goals. Team Collaboration Mentor engineering teams, fostering a culture of innovation and continuous improvement. Collaborate with cross-functional teams, including product managers, developers, and business stakeholders. Who you are: Education Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred). 14+ years of experience in Java Full Stack Architecture. Technical Skills: Core Expertise : Java, Spring Boot, RESTful APIs, and front-end technologies (e.g., Angular, React, or Vue.js). Cloud Technologies : Strong experience with AWS services , cloud-native application development, and deployment strategies. Containerization & Orchestration : Proficiency in Docker , Kubernetes , and Helm. Data Streaming : Advanced knowledge of Kafka , including architecture, implementation, and troubleshooting. Modernization : Hands-on experience with application transformation and legacy system modernization projects. Leadership : Proven ability to lead large teams, drive complex projects, and align technical deliverables with business objectives. Industry Knowledge : Prior experience in the healthcare industry is a plus but not mandatory. Preferred Qualifications Certifications: AWS Certified Solutions Architect or equivalent certifications. Experience with healthcare standards (e.g., HIPAA, HL7, FHIR) is a significant advantage. Strong understanding of DevOps practices and tools (e.g., Jenkins, GitHub Actions). Soft Skills Attention to detail. Dedicated self-starter with excellent people skills. Quick learner and a go-getter. Effective time and project management. Analytical thinker and a great team player. Strong leadership, interpersonal & problem-solving skills. English Language proficiency is required to effectively communicate in a professional environment. Excellent communication skills are a must. Strong problem-solving skills and a creative mindset to bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

We are looking for a highly skilled and experienced professional with 1 to 3 years of experience to join our team as a Staff in the Data & Analytics domain. The ideal candidate will have a strong background in data analytics, excellent communication skills, and the ability to work collaboratively with cross-functional teams. ### Roles and Responsibility Contribute to various technical streams of EI implementation projects. Provide product and design-level technical best practices. Interface and communicate with onsite coordinators. Complete assigned tasks on time and provide regular status reports to the lead. Support business development activities through leading pursuits and developing strong relationships with existing clients. Participate in case teams to provide solutions to unstructured problems. ### Job Requirements BE/BTech/MCA/MBA with adequate industry experience. Strong SQL skills and experience in writing Stored Procedures for data transformation. Experience in ETL/Data Integration using Informatica or any standard tool. Good understanding of DWH concepts, SQL, and AWS cloud exposure (S3/EMR/Lambda/Glue). Experience using Snowflake as a Data Integration Tool. Certification is a plus. Performance analysis and performance tuning skills in Snowflake. Experience using semi-structured data with Snowflake is preferred. Experience with Clone, Time travel, and other advanced features in Snowflake. Familiarity with Agile project delivery. Exposure to cloud technologies such as Azure, AWS is preferred.

Hiring Lead AWS Data Eng for Hyderabad/Chennai/Noida/Pune/Bangalore Location-Immediate to 15 days joiners Deep understanding of PII/PHI detection and privacy standards (HIPAA) Using AWS Glue, S3, Lake Formation, Kinesis, and DMS. nfrastructure with VPC segregation and IAM-based access. Monitoring with CloudWatch, X-Ray, and EventBridge. Expertise in RDS. Strong knowledge of containerized environments (ECS/EKS/VDS). Proficient in Python, PySpark, and infrastructure-as-code (CloudFormation or Terraform). Experience in lineage tracking, metadata cataloging, and cloud-native monitoring tools. Deep understanding of PII/PHI detection and privacy standards (HIPAA) is aplus

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Creating and maintaining documentation to support stakeholders and runbooks for operational excellence Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or masters degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) Exposure to building cloud ready applications Exposure to test-driven development and integration Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with ability to manage workload and meet deadlines in a fast-paced environment Collaborative team player Excellent verbal and written communication skills and command of English Willingness to travel Respect for confidentiality Technical Background Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

We are actively seeking an exceptionally motivated individual who thrives on continuous learning and embraces the dynamic environment of a high-velocity team. Joining the Content Productization & Delivery (CPD) organization at Thomson Reuters, you will play a pivotal role in ensuring the quality, reliability, and availability of critical systems. These systems provide a suite of infrastructure services supporting a common set of search and information retrieval capabilities necessary for Thomson Reuters's research-based applications and APIs across its core products. Your responsibilities will encompass delivering content via shared services that underpin all our Tax and Legal Research products. About the role: In this opportunity as a Senior Software Engineer, you will : Actively participates and collaborates in meetings, processes, agile ceremonies, and interaction with other technology groups. Works with Lead Engineers and Architects to develop high performing and scalable software solutions to meet requirement and design specifications. Provides technical guidance, mentoring, or coaching to software or systems engineering teams that are distributed across geographic locations. Proactively share knowledge and best practices on using new and emerging technologies across all the development and testing groups. Assists in identifying and correcting software performance bottlenecks. Provides regular progress and status updates to management. Provides technical support to operations or other development teams by assisting in troubleshooting, debugging, and solving critical issues in the production environment promptly to minimize user and revenue impact. Ability to interpret code and solve problems based on existing standards. Creates and maintains all required technical documentation / manual related to assigned components to ensure supportability. About You: You're a fit for the role of Senior Software Engineer, if your background includes: Bachelors or masters degree in computer science, engineering, information technology or equivalent experience 5+ years of professional software development experience 2+ years of experience with Java and REST based services 2+ years of Python experience Ability to debug and diagnose issues. Experience with version control (Git, GitHub) Experience working with various AWS technologies (DynamoDB, S3, EKS) Experience with Linux Infrastructure as Code, CICD Pipelines Excellent and creative problem-solving skills Strong written and oral communication skills Knowledge of Artificial Intelligence AWS Bedrock, Azure Open AI Large Language Models (LLMs) Prompt Engineering

Lead Software Engineer: We are seeking a highly motivated and experienced Lead Software Engineer to join our dynamic team. As a key member of our team, you will contribute to the development of innovative cutting-edge solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. About the Role: Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Provide technical leadership, mentoring, and coaching to software or systems engineering teams Share knowledge and best practices on using new and emerging technologies Provide technical support to operations or other development teams by troubleshooting, debugging, and solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned components About You: To be successful in this role, you should have: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent experience 7+ years of professional software development experience Strong technical skills, including: Python programming (3+ years) AWS experience with EKS/Kubernetes Experience with LLMs, AI Solutions, and evaluation Understanding of agentic systems and workflows Experience with Retrieval Systems leveraging tools like OpenSearch Experience with event-driven/asynchronous programming Experience with high-concurrency systems Experience with CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Build) Strong understanding of Microservices and RESTful APIs FastAPI Celery Data Engineering background Experience with AWS services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc.) Performance optimization and security practices Self-driven with ability to work with minimal direction Strong context-switching abilities Problem-solving mindset Clear communication Strong documentation habits Attention to detail

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across TR. At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Software Engineer with a passion for engineering cloud-based data platform systems. Join our dynamic team as a Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will develop and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. In this opportunity as the Software Engineer, you will: Develop data processing applications and frameworks on cloud-based infrastructure in partnership with Data Analysts and Architects with guidance from Lead Software Engineer. Innovate with new approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders. Contribute to improving the customer experience. Participate in code reviews to maintain a high-quality codebase Collaborate with cross-functional teams to define, design, and ship new features Work closely with product owners, designers, and other developers to understand requirements and deliver solutions. Effectively communicate and liaise across the data platform & management teams Stay updated on emerging trends and technologies in cloud computing About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Business Intelligence tools like PowerBI Fluency in querying languages such as SQL Solid understanding in Software development practices such as version control via Git, CI/CD and Release management Agile development cadence Good critical thinking, communication, documentation, troubleshooting and collaborative skills.

Role description Tool Development: o Design, develop, and test tool prototypes to meet project specifications. o Write and maintain high-quality code in Python, CAPL, Java, and Typescript. o Implement and integrate frameworks and middleware such as Python Pandas, NumPy, React, JavaFX, Javascript frameworks (e.g., Vue), Vector CANoe, and Codemeter. Collaboration and Integration: o Work closely with team members to ensure seamless integration and functionality of tools. o Participate in code reviews and provide constructive feedback to peers. o Collaborate with other departments to understand their tool requirements and provide effective solutions. o Work within a small team of 3 members. o Collaborate with roles such as Tool Developer and Tool Tester. CI/CD and DevOps Practices: o Implement and maintain CI/CD pipelines using tools like GIT, HTTP, Jenkins, SVN, GitLab, Kubernetes, Docker, AWS, S3, and Artifactory. o Ensure the tools are integrated into the CI/CD pipeline for automated testing and deployment. o Monitor and optimize the performance of tools in the development and production environments. Project Management: o Assign tasks and responsibilities according to different V-Modell phases. o Track project progress and ensure timely delivery of tool prototypes. o Document development processes, tool functionalities, and user guides. Continuous Improvement: o Stay updated with the latest industry trends and technologies. o Continuously improve tools based on user feedback and technological advancements. o Participate in training and professional development to enhance skills and knowledge. Quality Assurance: o Conduct thorough testing of tools to ensure they meet quality standards. o Identify and fix bugs and issues in a timely manner. o Ensure tools are reliable, efficient, and user-friendly. Support and Maintenance: o Provide ongoing support and maintenance for developed tools. o Troubleshoot and resolve issues reported by users. o Update tools to accommodate new requirements and technologies. Programming Languages: Python: Extensive experience in writing and maintaining Python code, with a strong understanding of libraries such as Pandas and NumPy for data manipulation and analysis. CAPL: Proficient in using CAPL (CAN Access Programming Language) for developing and testing automotive communication protocols. Java: Solid experience in Java programming, including the use of JavaFX for building rich client applications. Typescript: Skilled in writing and maintaining Typescript code, with a good grasp of its features and benefits over JavaScript. Frameworks and Middleware: Python Pandas and NumPy: In-depth knowledge of these libraries for data analysis and manipulation. React: Experience in building user interfaces using React, with an understanding of its component-based architecture. JavaFX: Proficient in using JavaFX for creating desktop applications with rich graphical interfaces. Javascript Frameworks (e.g., Vue): Familiarity with various JavaScript frameworks, particularly Vue, for building interactive web applications. Vector CANoe: Experience with Vector CANoe for simulation, testing, and analysis of automotive networks. Codemeter: Knowledge of Codemeter for software license management and protection. Infrastructure (CI/CD, DevOps): GIT: Proficient in using GIT for version control, including branching, merging, and resolving conflicts. HTTP: Understanding of HTTP protocols and their application in web development and API integration.

Roles and Responsibilities: Study existing technology landscape and understand current application workloads Understand and document technical requirements from clients Write high code on Terrafrom to set up the environment. Define Migration strategy to move application to cloud Develop architecture blueprints and detailed documentation. Create bill of materials, including required Cloud Services (such as EC2, S3 etc.) and tools; Design the overall Virtual Private Cloud VPC environment including server instance, storage instances, subnets, availability zones, etc Design the AWS network architecture including VPN connectivity between regions and subnets Design the HA / DR strategies Set up process, services and tools around cloud Build the environment Execute migration plan Leverage appropriate AWS services Maintain and manage microservice deployment on Kubernetes using Helm Charts. Validate the environment to meets all security and compliance controls Preferred candidate profile

8+ yrs of exp in S/W dev with a focus on AWS solutions , architecture. Exp in architecture applications using EKS. AWS certifications - AWS Certified Solutions Architect Design, develop, and implement microservices-based AWS using Java