108 Kinesis Jobs - Page 2

The Customer, Sales & Service Practice | Cloud Job Title - Amazon Connect + Level 9 (Consultant) + Entity (S&C GN) Management Level: Level 9 - Consultant Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai Must have skills: AWS contact center, Amazon Connect flows, AWS Lambda and Lex bots, Amazon Connect Contact Center Good to have skills: AWS Lambda and Lex bots, Amazon Connect Join our team of Customer Sales & Service consultants who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Customer Sales & Service Sales I Areas of Work: Cloud AWS Cloud Contact Center Transformation, Analysis and Implementation | Level: Consultant | Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai | Years of Exp: 5-8 years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting's Customer, Sales & Service practice. The Practice A Brief Sketch The Customer Sales & Service Consulting practice is aligned to the Capability Network Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Work on creating business cases for journey to cloud, cloud strategy, cloud contact center vendor assessment activities Work on creating Cloud transformation approach for contact center transformations Work along with Solution Architects for architecting cloud contact center technology with AWS platform Work on enabling cloud contact center technology platforms for global clients specifically on Amazon connect Work on innovative assets, proof of concept, sales demos for AWS cloud contact center Support AWS offering leads in responding to RFIs and RFPs Bring your best skills forward to excel at the role Good understanding of contact center technology landscape. An understanding of AWS Cloud platform and services with Solution architect skills. Deep expertise on AWS contact center relevant services. Sound experience in developing Amazon Connect flows , AWS Lambda and Lex bots Deep functional and technical understanding of APIs and related integration experience Functional and technical understanding of building API-based integrations with Salesforce, Service Now and Bot platforms Ability to understand customer challenges and requirements, ability to address these challenges/requirements in a differentiated manner. Ability to help the team to implement the solution, sell, deliver cloud contact center solutions to clients. Excellent communications skills Ability to develop requirements based on leadership input Ability to work effectively in a remote, virtual, global environment Ability to take new challenges and to be a passionate learner Read about us. Blogs Your experience counts! Bachelor's degree in related field or equivalent experience and Post-Graduation in Business management would be added value. Minimum 4-5 years of experience in delivering software as a service or platform as a service projects related to cloud CC service providers such as Amazon Connect Contact Center cloud solution Hands-on experience working on the design, development and deployment of contact center solutions at scale. Hands-on development experience with cognitive service such as Amazon connect, Amazon Lex, Lambda, Kinesis, Athena, Pinpoint, Comprehend, Transcribe Working knowledge of one of the programming/scripting languages such as Node.js, Python, Java What's in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting 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 Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit https:// Accenture Capability Network | Accenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team. Qualifications Experience: Minimum 5 year(s) of experience is required Educational Qualification: Engineering Degree or MBA from a Tier 1 or Tier 2 institute

The Customer, Sales & Service Practice | Cloud Job Title - Amazon Connect + Level 9 (Consultant) + Entity (S&C GN) Management Level: Level 9 - Consultant Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai Must have skills: AWS contact center, Amazon Connect flows, AWS Lambda and Lex bots, Amazon Connect Contact Center Good to have skills: AWS Lambda and Lex bots, Amazon Connect Join our team of Customer Sales & Service consultants who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Customer Sales & Service Sales I Areas of Work: Cloud AWS Cloud Contact Center Transformation, Analysis and Implementation | Level: Consultant | Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai | Years of Exp: 5-8 years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting's Customer, Sales & Service practice. The Practice A Brief Sketch The Customer Sales & Service Consulting practice is aligned to the Capability Network Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Work on creating business cases for journey to cloud, cloud strategy, cloud contact center vendor assessment activities Work on creating Cloud transformation approach for contact center transformations Work along with Solution Architects for architecting cloud contact center technology with AWS platform Work on enabling cloud contact center technology platforms for global clients specifically on Amazon connect Work on innovative assets, proof of concept, sales demos for AWS cloud contact center Support AWS offering leads in responding to RFIs and RFPs Bring your best skills forward to excel at the role Good understanding of contact center technology landscape. An understanding of AWS Cloud platform and services with Solution architect skills. Deep expertise on AWS contact center relevant services. Sound experience in developing Amazon Connect flows , AWS Lambda and Lex bots Deep functional and technical understanding of APIs and related integration experience Functional and technical understanding of building API-based integrations with Salesforce, Service Now and Bot platforms Ability to understand customer challenges and requirements, ability to address these challenges/requirements in a differentiated manner. Ability to help the team to implement the solution, sell, deliver cloud contact center solutions to clients. Excellent communications skills Ability to develop requirements based on leadership input Ability to work effectively in a remote, virtual, global environment Ability to take new challenges and to be a passionate learner Your experience counts! Bachelor's degree in related field or equivalent experience and Post-Graduation in Business management would be added value. Minimum 4-5 years of experience in delivering software as a service or platform as a service projects related to cloud CC service providers such as Amazon Connect Contact Center cloud solution Hands-on experience working on the design, development and deployment of contact center solutions at scale. Hands-on development experience with cognitive service such as Amazon connect, Amazon Lex, Lambda, Kinesis, Athena, Pinpoint, Comprehend, Transcribe Working knowledge of one of the programming/scripting languages such as Node.js, Python, Java What's in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications Experience: Minimum 5 year(s) of experience is required Educational Qualification: Engineering Degree or MBA from a Tier 1 or Tier 2 institute

The Customer, Sales & Service Practice | Cloud Job Title - Amazon Connect + Level 9 (Consultant) + Entity (S&C GN) Management Level: Level 9 - Consultant Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai Must have skills: AWS contact center, Amazon Connect flows, AWS Lambda and Lex bots, Amazon Connect Contact Center Good to have skills: AWS Lambda and Lex bots, Amazon Connect Join our team of Customer Sales & Service consultants who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Customer Sales & Service Sales I Areas of Work: Cloud AWS Cloud Contact Center Transformation, Analysis and Implementation | Level: Consultant | Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai | Years of Exp: 5-8 years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting's Customer, Sales & Service practice. The Practice A Brief Sketch The Customer Sales & Service Consulting practice is aligned to the Capability Network Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Work on creating business cases for journey to cloud, cloud strategy, cloud contact center vendor assessment activities Work on creating Cloud transformation approach for contact center transformations Work along with Solution Architects for architecting cloud contact center technology with AWS platform Work on enabling cloud contact center technology platforms for global clients specifically on Amazon connect Work on innovative assets, proof of concept, sales demos for AWS cloud contact center Support AWS offering leads in responding to RFIs and RFPs Bring your best skills forward to excel at the role Good understanding of contact center technology landscape. An understanding of AWS Cloud platform and services with Solution architect skills. Deep expertise on AWS contact center relevant services. Sound experience in developing Amazon Connect flows , AWS Lambda and Lex bots Deep functional and technical understanding of APIs and related integration experience Functional and technical understanding of building API-based integrations with Salesforce, Service Now and Bot platforms Ability to understand customer challenges and requirements, ability to address these challenges/requirements in a differentiated manner. Ability to help the team to implement the solution, sell, deliver cloud contact center solutions to clients. Excellent communications skills Ability to develop requirements based on leadership input Ability to work effectively in a remote, virtual, global environment Ability to take new challenges and to be a passionate learner Read about us. Blogs Your experience counts! Bachelor's degree in related field or equivalent experience and Post-Graduation in Business management would be added value. Minimum 4-5 years of experience in delivering software as a service or platform as a service projects related to cloud CC service providers such as Amazon Connect Contact Center cloud solution Hands-on experience working on the design, development and deployment of contact center solutions at scale. Hands-on development experience with cognitive service such as Amazon connect, Amazon Lex, Lambda, Kinesis, Athena, Pinpoint, Comprehend, Transcribe Working knowledge of one of the programming/scripting languages such as Node.js, Python, Java What's in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting 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 Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit https:// Accenture Capability Network | Accenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team. Qualifications Experience: Minimum 5 year(s) of experience is required Educational Qualification: Engineering Degree or MBA from a Tier 1 or Tier 2 institute

C#.Net, REST API, AWS (ec2, lambda, sns, sqs, Kinesis, rds), Microservices, SQL and Non sql db, Java and AI Tools like GitHub Copilot. 4+ years of development exp Platform Sprint activities. Deve appropriate languages defined for each module. Required Candidate profile Develop Unit test cases and execute them part of continuous integration pipeline. Participate in peer code reviews Understand stack deployment and resolve issues with components in stacks. Perks and benefits Perks and Benefits

We are hiring skilled Backend Developers to join our technology team supporting a top-tier client in the Retirement Pension Planning and Insurance domain. You'll work on large-scale enterprise data warehouse systems and develop robust, scalable data pipelines across real-time and batch environments. Roles & Responsibilities : Design, develop, and maintain scalable backend data pipelines using AWS Glue, PySpark, Lambda, and Kinesis . Implement both batch and real-time data ingestion and transformation flows using Alteryx . Collaborate with solution architects, analysts, and business stakeholders for data modeling and integration. Optimize data workflow performance, storage, and processing across multiple datasets. Troubleshoot data pipeline issues, maintain documentation, and ensure adherence to best practices. Work in agile teams and participate in sprint planning and code reviews. Technical Skills Required Must-Have: 3+ years of experience with AWS Glue , PySpark , and AWS Lambda Hands-on experience with AWS Kinesis or Amazon MSK Proficiency in scripting using Python Experience working with data warehouses and ETL frameworks Knowledge of batch and real-time data processing with Alteryx Good-to-Have: Understanding of data lake architectures and S3-based pipelines Familiarity with CI/CD tools for cloud deployment Basic knowledge of Data Governance tools or BI platforms (Tableau/Snowflake)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We’re Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum. We are seeking a dynamic individual who embodies modern engineering culture - someone with deep engineering expertise within a digital product model, a passion for innovation, and a relentless drive to enhance the consumer experience. Our ideal candidate thrives in an agile, fast-paced rapid-prototyping environment, embraces DevOps and continuous integration/continuous deployment (CI/CD) practices, and champions the Voice of the Customer. If you are driven by the pursuit of excellence, eager to innovate, and excited to make a tangible impact within a team that embraces modern technologies and consumer-centric strategies, while prioritizing robust cyber-security protocols, we invite you to explore this exciting opportunity with us. Join our team and be at the forefront of shaping the future of healthcare, where your unique skills will not only be recognized but celebrated. Primary Responsibilities Design and implement data models to analyse business, system, and security events for real-time insights and threat detection Conduct exploratory data analysis (EDA) to understand patterns and relationships across large data sets, and develop hypotheses for new model development Develop dashboards and reports to present actionable insights to business and security teams Build and automate near real-time analytics workflows on AWS, leveraging services like Kinesis, Glue, Redshift, and QuickSight Collaborate with AI/ML engineers to develop and validate data features for model inputs Interpret and communicate complex data trends to stakeholders and provide recommendations for data-driven decision-making Ensure data quality and governance standards, collaborating with data engineering teams to build quality data pipelines Develop data science algorithms & generate actionable insights as per platform needs and work closely with cross capability teams throughout solution development lifecycle from design to implementation & monitoring Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications B. Tech or Master’s degree or equivalent experience 12+ years of experience in data engineering roles in Data Warehouse 3+ years of experience as a Data Scientist with a focus on building models for analytics and insights in AWS environments Experience with AWS data and analytics services (e.g., Kinesis, Glue, Redshift, Athena, TimeStream) Hands-on experience with statistical analysis, anomaly detection and predictive modelling Proficiency with SQL, Python, and data visualization tools like QuickSight, Tableau, or Power BI Proficiency in data wrangling, cleansing, and feature engineering Preferred Qualifications Experience in security data analytics, focusing on threat detection and prevention Knowledge of AWS security tools and understanding of cloud data security principles Familiarity with deploying data workflows using CI/CD pipelines in AWS environments Background in working with real-time data streaming architectures and handling high-volume event-based data

Greetings from AstroSoft Technologies We are Back with Exciting job opportunity for AWS Data Engineer professionals. Join our Growing Team & Explore with us at Hyderabad office (Hybrid- Gachibowli) No.of Openings - 10 Positions Role : AWS Data Engineer Project Domain: USA Client-BFSI, Fintech Experience: 5+ Years Work Location : Hyderabad (Hybrid - Gachibowli) Job Type: Full-Time Company: AstroSoft Technologies (https://www.astrosofttech.com/) Astrosoft is an award-winning company that specializes in the areas of Data, Analytics, Cloud, AI/ML, Innovation, Digital. We have a customer first mindset and take extreme ownership in delivering solutions and projects for our customers and have consistently been recognized by our clients as the premium partner to work with. We bring to bear top tier talent, a robust and structured project execution framework, our significant experience over the years and have an impeccable record in delivering solutions and projects for our clients. Founded in 2004 , Headquarters in Florida, Texas-,USA, Corporate Office - India, Hyderabad Benefits from Astrosoft Technologies H1B Sponsorship (Depends on Project & Performance) Lunch & Dinner (Every day) Health Insurance Coverage- Group Industry Standards Leave Policy Skill Enhancement Certification Hybrid Mode JOB DETAILS: Role: Senior AWS Data Engineer Location : India, Hyderabad, Gachibowli (Vasavi SkyCity) Job Type : Full Time Shift Timings : 12.30 PM to 9.30 PM IST Experience Range - 5+ yrs. Work Mode: Hybrid (Fri & Mon-WFH) Interview Process : 3 Tech Rounds Job Summary: Strong experience and understanding of streaming architecture and development practices using kafka , Kinesis , spark , flink etc, Strong AWS development experience using S3 , SNS , SQS, MWAA ( Airflow ) Glue , DMS and EMR . Strong knowledge of one or more programing languages Python /Java/Scala (ideally Python ) Experience using Terraform to build IAC components in AWS . Strong experience with ETL Tools in AWS ; ODI experience is as plus. Strong experience with Database Platforms: Oracle, AWS Redshift Strong experience in SQL tuning, tuning ETL solutions, physical optimization of databases. Very familiar with SRE concepts which includes evaluating and implementing monitoring and observability tools like Splunk , Data Dog, CloudWatch and other job, log or dashboard concepts for customer support and application health checks. Ability to collaborate with our business partners to understand and implement their requirements. Excellent interpersonal skills and be able to build consensus across teams. Strong critical thinking and ability to think out-of-the box. Self-motivated and able to perform under pressure. AWS certified (preferred) Thanks & Regards Karthik Kumar HR-TAG Lead -India Astrosoft Technologies, Unit 1810, level 18, Vasavi Sky city, Gachibowli, Hyderabad, Telangana 500081. Contact: +91-8712229084 Email: karthik.jangam@astrosofttech.com

Job Type : Permanent Position Summary : The candidate suitable for this role of Technical Lead (Principal Architect) is responsible for leading the development and implementation of complex software solutions. This role involves a high level of technical expertise and the ability to guide and mentor junior team members. The Technical Lead (Principal Architect) will collaborate with cross-functional teams to define, design, and ship new features while maintaining high standards of software quality. Key Responsibilities : - Design and develop high-volume, low-latency applications for mission-critical systems, delivering high availability and performance. - Contribute to all phases of the development lifecycle, from concept and design to testing. - Write well-designed, testable, and efficient code. - Ensure designs comply with specifications. - Prepare and produce releases of software components. - Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review. Skills : - Proven hands-on experience in building highly available, secure, robust, and scalable microservices with high throughput. - Rich experience in Nodejs, Java, Spring Boot, JPA, AWS, Databases (preferable: RDBMS -MySQL, NoSQL - MongoDB), Redis, REST. - Hands on experience with queuing services like Kafka, SQS, Kinesis. - Sound knowledge of object-oriented design, design patterns, data structures, concurrency, and multi threading. - Strong analytical, communication and interpersonal skills. - Conversant with tools like GIT, JIRA, NPM, Maven. - Experience of working in Agile software development environment. - Enjoy solving complex problems and taking challenges. - Quick learner and self-initiator. - Work independently with minimal supervision and mentoring junior members of the team. - Be motivated to learn new technologies and provide innovative solutions to complex problems.

If interested apply here - https://forms.gle/sBcZaUXpkttdrTtH9 Key Responsibilities Work with Product Owners and various stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and design the scale out architecture for data platform to meet the requirements of the proposed solution. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Play an active role in leading team meetings and workshops with clients. Help the Data Engineering team produce high-quality code that allows us to put solutions into production Create and own the technical product backlogs for data projects, help the team to close the backlogs in right time. Help us to shape the next generation of our products. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Develop custom data models and algorithms to apply to data set Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Responsible to understand the client requirement and architect robust data platform on multiple cloud technologies. Responsible for creating reusable and scalable data pipelines Work with DE/DA/ETL/QA/Application and various other teams to remove roadblocks Align data projects with organizational goals. Skills & Qualifications Were looking for someone with 4-7 years of experience having worked through large data engineering porjects Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. Strong problem-solving skills with an emphasis on product development Domain - Big Data, Data Platform, Distributed Systems Coding - any language (Java/scala/python) (most import requirement) with strong knowledge of Spark Ingestion skills - one of apache storm, flink, spark Streaming skills - one of kafka, kinesis, oplogs, binlogs, debizium Database skills – HDFS, Delta Lake/Iceberg, Lakehouse If interested apply here - https://forms.gle/sBcZaUXpkttdrTtH9

Dear Candidate, Seeking a Cloud Monitoring Specialist to set up observability and real-time monitoring in cloud environments. Key Responsibilities: Configure logging and metrics collection. Set up alerts and dashboards using Grafana, Prometheus, etc. Optimize system visibility for performance and security. Required Skills & Qualifications: Familiar with ELK stack, Datadog, New Relic, or Cloud-native monitoring tools. Strong troubleshooting and root cause analysis skills. Knowledge of distributed systems. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Duration: 8Months Job Type: Contract Work Type: Onsite The top 3 Responsibilities: Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Leadership Principles: Ownership, Customer obsession, Dive Deep and Deliver results Mandatory requirements: 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL & SQL Tuning Basic to Mid-level proficiency in scripting with Python Education or Certification Requirements: Any Graduation

Job Title Data Architect Experience 10-12 Years Location Chennai : 10-12 years experience as Data Architect Strong expertise in streaming data technologies like Apache Kafka, Flink, Spark Streaming, or Kinesis. ProficiencyinprogramminglanguagessuchasPython,Java,Scala,orGo ExperiencewithbigdatatoolslikeHadoop,Hive,anddatawarehousessuchas Snowflake,Redshift,Databricks,MicrosoftFabric. Proficiencyindatabasetechnologies(SQL,NoSQL,PostgreSQL,MongoDB,DynamoDB,YugabyteDB). Should be flexible to work as anIndividual contributor

Dear Candidate, We are hiring a Cloud Architect to design and oversee scalable, secure, and cost-efficient cloud solutions. Great for architects who bridge technical vision with business needs. Key Responsibilities: Design cloud-native solutions using AWS, Azure, or GCP Lead cloud migration and transformation projects Define cloud governance, cost control, and security strategies Collaborate with DevOps and engineering teams for implementation Required Skills & Qualifications: Deep expertise in cloud architecture and multi-cloud environments Experience with containers, serverless, and microservices Proficiency in Terraform, CloudFormation, or equivalent Bonus: Cloud certification (AWS/Azure/GCP Architect) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dear Candidate, Looking for a Cloud Data Engineer to build cloud-based data pipelines and analytics platforms. Key Responsibilities: Develop ETL workflows using cloud data services. Manage data storage, lakes, and warehouses. Ensure data quality and pipeline reliability. Required Skills & Qualifications: Experience with BigQuery, Redshift, or Azure Synapse. Proficiency in SQL, Python, or Spark. Familiarity with data lake architecture and batch/streaming. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

AWS certified with solid 1+ years experience in Production environment Candidate Profile AWS certified candidate with 1+ yr experience of working in production environment is the specific ask. Within AWS, the key needs are working knowledge on Kinesis (streaming data), Redshift / RDS ( Querying), Dynamo DB: No SQL DB.

Exp :- 5-11 Years Work Location :- Bangalore ( Embassy Tech Village) Preferred Technical Skill Amazon Connect : Connect Flow : Essential for designing and managing contact flows. Lex, Polly, Comprehend : Useful for integrating AI-driven features like chatbots, text-to-speech, and sentiment analysis. AWS Services :: Kinesis : For real-time data streaming. Lambda : For serverless computing and executing code in response to events. Athena : For querying data stored in S3 using SQL. CloudWatch : For monitoring and logging. S3 : For scalable storage solutions Basics of Telephony Systems : Understanding how telephony works is crucial for managing call flows and ensuring smooth operations. Amazon Bedrock : For leveraging generative AI capabilities. Integration with Applications : API (Rest, GraphQL) : For connecting with various applications and services. Workforce Management (WFM) : For managing staff schedules and performance. Softphone Configuration : For setting up virtual phone systems Scripting Languages :: NodeJs,Python, Java : For developing custom solutions and integrations. Database : DynamoDB, Postgres : For managing data storage and retrieval.

Lead & mentor a team of data engineers Architect, develop, & optimize scalable ETL/ELT pipelines using Apache Spark, Hive, AWS Glue, and Trino Build and maintain cloud-based data solutions using AWS services Data Governance & Quality

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Data Engineer (Internally known as a Technical Consultant) AHEAD is looking for a Technical Consultant Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Data Engineer will be responsible for hands-on engineering of Data platforms that support our clients advanced analytics, data science, and other data engineering initiatives. This consultant will build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. The Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Data Engineer, you will implement data pipelines to enable analytics and machine learning on rich datasets. Responsibilities: A Data Engineer should be able to build, operationalize and monitor data processing systems Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases Engineers and supports data structures including but not limited to SQL and NoSQL databases Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop) Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions Respond to customer/team inquiries and assist in troubleshooting and resolving challenges Works with other scrum team members to estimate and deliver work inside of a sprint Research data questions, identifies root causes, and interacts closely with business users and technical resources Qualifications: 3+ years of professional technical experience 3+ years of hands-on Data Warehousing. 3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake 2+ years of programming languages such as Python 3+ years of experience working in cloud environments (Azure) 2 years of experience in Redshift Strong client-facing communication and facilitation skills Key Skills: Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Data Engineer (Internally known as a Sr. Associate Technical Consultant) AHEAD is looking for a Technical Consultant Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Data Engineer will be responsible for hands-on engineering of Data platforms that support our clients advanced analytics, data science, and other data engineering initiatives. This consultant will build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. The Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Data Engineer, you will implement data pipelines to enable analytics and machine learning on rich datasets. Responsibilities: A Data Engineer should be able to build, operationalize and monitor data processing systems Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases Engineers and supports data structures including but not limited to SQL and NoSQL databases Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop) Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions Respond to customer/team inquiries and assist in troubleshooting and resolving challenges Works with other scrum team members to estimate and deliver work inside of a sprint Research data questions, identifies root causes, and interacts closely with business users and technical resources Qualifications: 3+ years of professional technical experience 3+ years of hands-on Data Warehousing. 3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake 2+ years of programming languages such as Python 3+ years of experience working in cloud environments (Azure) 2 years of experience in Redshift Strong client-facing communication and facilitation skills Key Skills: Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP

Project Role : Application Architect Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Must have skills : Manufacturing Operations Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BTech BE Job Title:Industrial Data Architect Summary :We are seeking a highly skilled and experienced Industrial Data Architect with a proven track record in providing functional and/or technical expertise to plan, analyse, define and support the delivery of future functional and technical capabilities for an application or group of applications. Well versed with OT data quality, Data modelling, data governance, data contextualization, database design, and data warehousing. Must have Skills:Domain knowledge in areas of Manufacturing IT OT in one or more of the following verticals Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life ScienceKey Responsibilities: Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives. This role involves collaborating with various teams to design and implement efficient, scalable, and secure data solutions for industrial operations. Focused on designing, building, and managing the data architecture of industrial systems. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Own the offerings and assets on key components of data supply chain, data governance, curation, data quality and master data management, data integration, data replication, data virtualization. Create scalable and secure data structures, integrating with existing systems and ensuring efficient data flow. Qualifications: Data Modeling and Architecture:oProficiency in data modeling techniques (conceptual, logical, and physical models).oKnowledge of database design principles and normalization.oExperience with data architecture frameworks and methodologies (e.g., TOGAF). Database Technologies:oRelational Databases:Expertise in SQL databases such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.oNoSQL Databases:Experience with at least one of the NoSQL databases like MongoDB, Cassandra, and Couchbase for handling unstructured data.oGraph Databases:Proficiency with at least one of the graph databases such as Neo4j, Amazon Neptune, or ArangoDB. Understanding of graph data models, including property graphs and RDF (Resource Description Framework).oQuery Languages:Experience with at least one of the query languages like Cypher (Neo4j), SPARQL (RDF), or Gremlin (Apache TinkerPop). Familiarity with ontologies, RDF Schema, and OWL (Web Ontology Language). Exposure to semantic web technologies and standards. Data Integration and ETL (Extract, Transform, Load):oProficiency in ETL tools and processes (e.g., Talend, Informatica, Apache NiFi).oExperience with data integration tools and techniques to consolidate data from various sources. IoT and Industrial Data Systems:oFamiliarity with Industrial Internet of Things (IIoT) platforms and protocols (e.g., MQTT, OPC UA).oExperience with either of IoT data platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT Core.oExperience working with one or more of Streaming data platforms like Apache Kafka, Amazon Kinesis, Apache FlinkoAbility to design and implement real-time data pipelines. Familiarity with processing frameworks such as Apache Storm, Spark Streaming, or Google Cloud Dataflow.oUnderstanding of event-driven design patterns and practices. Experience with message brokers like RabbitMQ or ActiveMQ.oExposure to the edge computing platforms like AWS IoT Greengrass or Azure IoT Edge AI/ML, GenAI:oExperience working on data readiness for feeding into AI/ML/GenAI applicationsoExposure to machine learning frameworks such as TensorFlow, PyTorch, or Keras. Cloud Platforms:oExperience with cloud data services from at least one of the providers like AWS (Amazon Redshift, AWS Glue), Microsoft Azure (Azure SQL Database, Azure Data Factory), and Google Cloud Platform (BigQuery, Dataflow). Data Warehousing and BI Tools:oExpertise in data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).oProficiency with Business Intelligence (BI) tools such as Tableau, Power BI, and QlikView. Data Governance and Security:oUnderstanding of data governance principles, data quality management, and metadata management.oKnowledge of data security best practices, compliance standards (e.g., GDPR, HIPAA), and data masking techniques. Big Data Technologies:oExperience in big data platforms and tools such as Hadoop, Spark, and Apache Kafka.oUnderstanding of distributed computing and data processing frameworks. Excellent Communication:Superior written and verbal communication skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Problem-Solving Acumen:A passion for tackling intricate challenges and devising elegant solutions. Collaborative Spirit:A track record of successful collaboration with cross-functional teams and stakeholders. Certifications:AWS Certified Data Engineer Associate / Microsoft Certified:Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer certification is mandatory Minimum of 14-18 years progressive information technology experience. Qualifications BTech BE

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform, Amazon Web Services (AWS), PySpark Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will work with the Databricks Unified Data Analytics Platform and utilize your expertise in Amazon Web Services (AWS) and PySpark. Your typical day will involve collaborating with the team to develop and implement solutions, ensuring the applications meet the required standards and functionality. Key Responsibilities: Work on client projects to deliver Databricks, PySpark, AWS, Terraform based Data engineering & Analytics solutions. Build and operate very large data warehouses or delta lakes. Optimization, designing, coding, & tuning big data processes using Apache Spark. Build data pipelines & applications to stream and process datasets at low latencies using Airflow. Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience: Minimum of 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake, provisioning AWS infrastructure using Terraform, Orchestration the job using Airflow. Minimum of 5 years of experience years of experience in Databricks, AWS, Pyspark, ETL, Big Data/Hadoop and data warehouse architecture & delivery. Minimum of 2 years of experience years in real time streaming using Kafka/Kinesis. Minimum 4 year of Experience in one or more programming languages Python. Experience using airflow for the data pipelines in min 1 year experience project. 1 years of experience developing CI/CD pipelines using GIT, Jenkins, Shell Scripting, Terraform Ready to work in C Shift (2PM – 11 PM) A Client facing skills:solid experience working in client facing environments to build trusted relationships with client stakeholders. Good critical thinking and problem-solving abilities Health care knowledge Good Communication Skills Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualifications 15 years full time education

The Strategy & Consulting Global Network Song Practice | Cloud Join our team of Customer Sales & Service consultants who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Customer Sales & Service Sales I Areas of Work: Cloud AWS Cloud Contact Center Transformation, Analysis and Implementation | Level: Analyst/ Consultant | Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai. | Years of Exp: 2-9 years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting's Customer, Sales & Service practice. The Practice A Brief Sketch The practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Work on creating business cases for journey to cloud, cloud strategy, cloud contact center vendor assessment activities Work on creating Cloud transformation approach for contact center transformations Work along with Solution Architects for architecting cloud contact center technology with AWS platform Work on enabling cloud contact center technology platforms for global clients specifically on Amazon connect Work on innovative assets, proof of concept, sales demos for AWS cloud contact center Support AWS offering leads in responding to RFIs and RFPs Bring your best skills forward to excel at the role: Good understanding of contact center technology landscape. An understanding of AWS Cloud platform and services with Solution architect skills. Deep expertise on AWS contact center relevant services. Sound experience in developing Amazon Connect flows and Lex bots Deep functional and technical understanding of APIs and related integration experience Functional and technical understanding of building API-based integrations with Salesforce, Service Now and Bot platforms Ability to understand customer challenges and requirements, ability to address these challenges/requirements in a differentiated manner. Ability to help the team to implement the solution, sell, deliver cloud contact center solutions to clients. Excellent communications skills Ability to develop requirements based on leadership input Ability to work effectively in a remote, virtual, global environment Ability to take new challenges and to be a passionate learner Qualifications Your experience counts! Bachelors degree in related field or equivalent experience Minimum 2-9 years of experience in delivering software as a service or platform as a service projects related to cloud CC service providers such as Amazon Connect Contact Center cloud solution Hands-on experience working on the design, development and deployment of contact center solutions at scale. Hands-on development experience with cognitive service such as Amazon connect, Amazon Lex, Lambda, Kinesis, Athena, Pinpoint, Comprehend, Transcribe Working knowledge of one of the programming/scripting languages such as Node.js, Python, Java Experience in setting up cloud instances, account / users with security profiles and designing applications Experience in taking a lead role for building contact center applications that have been successfully delivered to customers

Urgent Hiring: AWS Data Engineer, Senior Data Engineers & Lead Data Engineers Apply Now: Send your resume to heena.ruchwani@gspann.com Location: Bangalore (5+ Years Experience) Company: GSPANN Technologies, Inc. GSPANN Technologies is seeking talented professionals with 5+ years of experience to join our team in Bangalore. We are looking for immediate joiners who are passionate about data engineering and eager to take on exciting challenges. Key Skills & Experience: 5+ years of hands-on experience with AWS Data Services (Glue, Redshift, S3, Lambda, EMR, Athena, etc.) Strong expertise in Big Data Technologies (Spark, Hadoop, Kafka) Proficiency in SQL, Python, and Scala Hands-on experience with ETL pipelines, data modeling, and cloud-based data solutions Location: Bangalore Apply Now: Send your resume to heena.ruchwani@gspann.com Immediate Joiners Preferred! If you're ready to contribute to dynamic, data-driven projects and advance your career with GSPANN Technologies, apply today!

Job Summary As a Sr. Cloud Engineer you will work as part of a team responsible for actively participating in driving product development and strategy. As an IC5 Cloud Engineer, you will be a key contributor throughout the entire product lifecycle, from conception to deployment. Your role will involve working on advanced distributed microservices systems that handle petabytes of data, providing essential insights for our enterprise offerings. You will also contribute to the design of resilient, enterprise-level systems that operate effectively within hybrid and multi-cloud environments, ensuring scalability and reliability to meet our customers' complex needs. Within this collaborative team environment, you will be part of the process that shapes real-time SaaS solutions for a worldwide enterprise clientele. Under the guidance of senior engineers, your involvement in coding, system design, and strategic technical discussions will help pave the way for innovative products that resonate with users and stand strong in a competitive market. Prior experience in Filesystems would be an added advantage, and you should also have the ability to quickly learn existing code and architecture. You will work on architecture, design and product definition that leads and influences decisions and outcomes related to project direction. As part of a team, you will act as a technical advisor and resource to other engineers and across functions Job Requirements Excellent Problem solver, proficient coder and a designer. Thorough understanding and extensive experience with Data protection technologies having hands-on experience in designing and developing Backup/Restore software. Proficient with any of the languages C, C++ or Golang. Experience with Python, Java/C-sharp is added advantage. Thorough understanding of Linux or other Unix-like Operating Systems. Strong in Data Structure and algorithms. Expertise in REST API design and implementation. Prior experience with Filesystem development and Distributed system design is desirable. Understanding of Container based technologies preferably Kubernetes & Dockers and experience with Cloud service APIs (e.g. AWS, Azure or GCP) is desirable. Knowledge and experience of infrastructure like hypervisor, Cloud Storage and experience with cloud services including Databases, Caching, Object and Block Storage, Scaling, Monitoring, Load Balancers, Networking etc. is added advantage. Work on development, bug fixes/updates, spec updates, customer RCAs and automation. Solid knowledge of SaaS system design and architecture. Strong oral and written communication skills. Ability to tackle complex issues that require in-depth evaluation of various factors. Experience with ETL and distributed queues technologies such as Kafka, RabbitMQ, Kinesis, Logstash. Experience with performance testing and scale testing. Full stack application experience is needed. Education BTech or Master's in Computer Science or a related field required with a minimum of 10+ years of related experience is required.

We are looking for a Senior/Lead Software Engineer with expertise in Rust, Java, Microservices, GraphQL, and Flink to develop and optimize high-performance backend systems and real-time data pipelines. Key Responsibilities Develop backend services using Rust and Java (Spring Boot) with optimized API performance. Design and maintain scalable and secure microservices while implementing RESTful and GraphQL APIs. Create efficient resolvers and optimize GraphQL queries to reduce response time. Build real-time data processing pipelines using Apache Flink and integrate with Kafka,Kinesis, and RabbitMQ. Implement stateful Flink applications with effective use of windowing, key-value state,and checkpointing mechanisms. Optimize Flink jobs to ensure high performance, low latency, and fault tolerance. Design APIs for exposing real-time data streams and implement event-driven architectures. Deploy, manage, and monitor applications on cloud platforms (AWS, GCP, or Azure) using Docker and Kubernetes.