As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

Analyzes and designs software modules, features or components of software programs and develops related specifications. Develops, tests, documents and maintains complex software programs for assigned systems, applications and/or products. Gathers and evaluates software project requirements and apprises appropriate individual(s). Codes, tests and debugs new software or enhances existing software. Troubleshoots and resolves or recommends solutions to complex software problems. Provides senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates. Assists management with the planning, scheduling, and assigning of projects to software development personnel. Ensures product quality by participating in design reviews, code reviews, and other mechanisms. Participates in developing test procedures for system quality and performance. Writes and maintains technical documentation for assigned software projects. Provides initial input on new or modified product/application system features or enhancements for user documentation. Reviews user documentation for technical accuracy and completeness. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Over 6+ years of experience in software development tools and methods; related software languages; test design and configuration; related systems, applications, products and services. 5+ years of experience in enterprise applications using Java, J2EE and related technologies- Spring, Hibernate, Kafka, SQL, REST APIs, Microservices, JSP, etc. Familiarity with cloud computing services such as AWS, Azure, GCP. Hands-on experience with Oracle Databases or similar. Knowledge of scripting languages like Python and Perl. Experience in design and development of UI. Knowledge of different flavours of .JS (React, Angular, Node etc.) Ability to test and analyze data and provide recommendations, to organize tasks and determine priorities, ability to provide guidance to less experienced personnel. Preferred technical and professional experience Passion for mobile device technologies. Proven debugging and troubleshooting skills (memory, performance, battery usage, network usage optimization, etc.).

A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics

A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations. Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

Job Title: Senior Java Developer (Remote) Experience: 6 to 8 Years Location: Remote Employment Type: Full-Time Notice period: Immediate Joiner Job Summary: We are looking for a highly skilled and experienced Senior Java Developer to join our distributed team. The ideal candidate should have a strong background in developing scalable enterprise-grade applications using Java and related technologies, with exposure to full-stack development, system integration, and performance optimization. Key Responsibilities: Design and develop high-performance, scalable, and reusable Java-based applications. Build RESTful APIs with a strong understanding of RESTful architecture. Implement enterprise integration patterns using Apache Camel or Spring Integration. Ensure application security in compliance with OWASP guidelines. Write and maintain unit, integration, and BDD tests using JUnit, Cucumber, Selenium. Conduct performance and load testing; optimize through memory and thread dump analysis. Collaborate with product owners, QA teams, and other developers in Agile/Scrum environments. Participate in code reviews, architecture discussions, and mentoring junior developers. Technical Skills & Experience Required: Core Backend: Strong proficiency in Java (8 or higher) Proficient in Spring Boot , Spring Security , Spring MVC , Spring Data Solid experience with REST API design, implementation, and testing using Postman , SoapUI Unit Testing , Integration Testing , BDD Testing Web Services and Integration: Experience with XML , Web Services (RESTful and SOAP) , Apache CXF Knowledge of Enterprise Integration Patterns Exposure to Apache Camel or Spring Integration Frontend & Full Stack: Familiarity with HTML5 , CSS3 Experience with TypeScript , JavaScript , jQuery , Node.js Working knowledge of Webpack and Gulp Database & Data Streaming: Strong in RDBMS and Database Design (e.g., Oracle , PL/SQL ) Exposure to MongoDB and NoSQL Understanding of Kafka architecture , Kafka as a data streaming platform Performance & Security: Experience in Performance Analysis and Application Tuning Understanding of Security aspects and OWASP guidelines Experience with Memory & Thread Dump Analysis Cloud & DevOps: Working knowledge of Kubernetes Familiarity with Elastic solutions at the enterprise level Experience in Identity and Access Management tools like ForgeRock About IGT Solutions: IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing end-to-end CX journeys across Travel and High Growth Tech industries. We have a global delivery footprint, spread across 30 delivery centers in China, Colombia, Egypt, India, Indonesia, Malaysia, Philippines, Romania, South Africa, Spain, UAE, the US, and Vietnam, with 25000+ CX and Technology experts from 35+ nationalities. IGT's Digital team collaborates closely with our customers business & technology teams to take solutions faster to market while sustaining quality while focusing on business value and improving overall end-Customer Experience. Our offerings include industry solutions as well as Digital services. We work with leading global enterprise customers to improve synergies between business & technology by enabling rapid business value realization leveraging Digital Technologies. These include lifecycle transformation & rapid development / technology solution delivery services delivered leveraging traditional as well as Digital Technologies, deep functional understanding and software engineering expertise. IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. Show more Show less

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark. Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure strong problem-solving skill Preferred technical and professional experience Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / Data Bricks, AWS RedShift, DynamoDB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

Your Role & Responsibilities: Looking to make a significant impactThis is your chance to become a key part of a dynamic team of talented professionals, leading the development and deployment of innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Software Engineer to join us. This role designing, developing, and deploying AI-based services. You will be instrumental in problem-solving, automating wide ranges of tasks, and interfacing with other teams and solve complex problems. Responsibilities: Develop AI capabilities in IBM Cloud based applications Design and be an avid coder who can get his hands dirty and be involved in the coding to the deepest level. Work in an agile environment of continuous deliverable. You’ll have access to all the technical training courses you need to become the expert you want to be. Define all aspects of development from appropriate technology and workflow to coding standards Collaborate with other professionals to determine functional and non-functional requirements Participate in technical reviews of requirements, specifications, designs, code and other artifacts. Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company’s technical leadership position. Required education Bachelor's Degree Required technical and professional expertise Required Skills: Minimum 7-12 years of experience as Full Stack Developer with a focus on AI projects Experience with AI and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, LLMs, Generative AI. Familiarity with AI model deployment and integration. Solid understanding of backend technologies, including server-side languages (Node.js, Python, Java, etc.) and databases (Cassandra, PostgreSQL, etc.). Understanding and experience with RESTful APIs, Java/J2EE, Kafka & GitHub. Strong experience with Cloud Technologies, Kubernetes based microservices architecture, Kafka, Object Storage, Cassandra database and docker container technologies. Knowledge on IBM Cloud Technologies will be an added advantage. At least 6 years of hands-on development experience building applications with one or more of the followingJava, Spring, Liberty, Node.js, Express.js, Golang, NoSQL DB, Redis, distributed caches, containers etc., At least 3 years of experience in building and operating highly secured, distributed cloud services with one or more of the followingIBM Cloud, AWS, Azure, SRE, CI/CD,Docker, Container orchestration, performance testing, etc., At least 3 years of experience in web technologiesHTTP, REST, JSON, HTML, Ajax, JavaScript etc., Solid understanding of the micro-services architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred technical and professional experience Preferred Skills: Experience in using messaging brokers like RabbitMQ, Kafka etc. Operating Systems (such as Red Hat, Ubuntu, etc.) Knowledge of network protocols such as TCP/IP, HTTP, etc. Experience and working knowledge of version Control systems like Github and build tools like Maven/Gradle Ability to learn and apply new technologies quickly Experience in working on a SaaS application with high industry standard CI/CD, and development cycle processes Strong sense of ownership of deliverables UI test automation skills - Selenium and/or Puppeteer Beyond the requirements, candidates should be passionate about in the role: Continuous learning and ability to adapt to change Working across global teams and collaborating across teams and organization boundaries Finding innovative ways to solve complex problems with cutting edge technologies.

Your Role & Responsibilities: Looking to make a significant impactThis is your chance to become a key part of a dynamic team of talented professionals, leading the development and deployment of innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Software Engineer to join us. This role designing, developing, and deploying AI-based services. You will be instrumental in problem-solving, automating wide ranges of tasks, and interfacing with other teams and solve complex problems. Responsibilities: Develop AI capabilities in IBM Cloud based applications Design and be an avid coder who can get his hands dirty and be involved in the coding to the deepest level. Work in an agile environment of continuous deliverable. You’ll have access to all the technical training courses you need to become the expert you want to be. Define all aspects of development from appropriate technology and workflow to coding standards Collaborate with other professionals to determine functional and non-functional requirements Participate in technical reviews of requirements, specifications, designs, code and other artifacts. Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company’s technical leadership position. Required education Bachelor's Degree Required technical and professional expertise Required Expertise Full Stack & AI/ML 7–12 years' experience with AI/ML tools (scikit-learn, TensorFlow, PyTorch, LLMs), model deployment, and full-stack development. Backend & APIs Strong in Java, Python, Node.js, REST APIs, Kafka, and databases like Cassandra, PostgreSQL. Cloud & DevOps Expertise in IBM Cloud/AWS/Azure, Kubernetes, Docker, microservices, CI/CD, and SRE practices. Web & Architecture Proficient in web technologies (HTTP, JSON, HTML, JS) and modern cloud/microservices architecture with API design skills. Preferred technical and professional experience Preferred Expertise Messaging & OSExperience with Kafka, RabbitMQ, and Linux environments (Red Hat, Ubuntu). Networking & ToolsKnowledge of TCP/IP, HTTP protocols, GitHub, Maven/Gradle. SaaS & CI/CDBackground in SaaS apps, CI/CD pipelines, and agile development cycles. Testing & AutomationFamiliarity with UI test tools like Selenium or Puppeteer. MindsetOwnership, adaptability, global collaboration, and eagerness to solve complex problems with new tech.

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

Develop user-friendly web applications using Java and React.js while ensuring high performance. Design, develop, test, and deploy robust and scalable applications. Building and consuming RESTful APIs. Collaborate with the design and development teams to translate UI/UX design wireframes into functional components. Optimize applications for maximum speed and scalability. Stay up-to-date with the latest Java and React.js trends, techniques, and best practices. Participate in code reviews to maintain code quality and ensure alignment with coding standards. Identify and address performance bottlenecks and other issues as they arise. Help us shape the future of Event Driven technologies, including contributing to Apache Kafka, Strimzi, Apache Flink, Vert.x and other relevant open-source projects. Collaborate within a dynamic team environment to comprehend and dissect intricate requirements for event processing solutions. Translate architectural blueprints into actualized code, employing your technical expertise to implement innovative and effective solutions. Conduct comprehensive testing of the developed solutions, ensuring their reliability, efficiency, and seamless integration. Provide ongoing support for the implemented applications, responding promptly to customer inquiries, resolving issues, and optimizing performance. Serve as a subject matter expert, sharing insights and best practices related to product development, fostering knowledge sharing within the team. Continuously monitor the evolving landscape of event-driven technologies, remaining updated on the latest trends and advancements. Collaborate closely with cross-functional teams, including product managers, designers, and developers, to ensure a holistic and harmonious product development process. Take ownership of technical challenges and lead your team to ensure successful delivery, using your problem-solving skills to overcome obstacles. Mentor and guide junior developers, nurturing their growth and development by providing guidance, knowledge transfer, and hands-on training. Engage in agile practices, contributing to backlog grooming, sprint planning, stand-ups, and retrospectives to facilitate effective project management and iteration. Foster a culture of innovation and collaboration, contributing to brainstorming sessions and offering creative ideas to push the boundaries of event processing solutions. Maintain documentation for the developed solutions, ensuring comprehensive and up-to-date records for future reference and knowledge sharing. Involve in building and orchestrating containerized services Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proven 5+ years of experience as aFull stack developer (Java and React.js) with a strong portfolio of previous projects. Proficiency in Java, JavaScript, HTML, CSS, and related web technologies. Familiarity with RESTfulAPIs and their integration into applications. Knowledge of modern CICD pipelines and tools like Jenkinsand Travis. Strong understanding of version control systems, particularly Git. Good communication skills and the ability to articulate technical concepts to both technical and non-technical team members. Familiarity with containerizationand orchestrationtechnologies like Docker and Kubernetes for deploying event processing applications. Proficiency in troubleshootingand debugging. Exceptional problem-solving and analytical abilities, with a knack for addressing technical challenges. Ability to work collaboratively in an agile and fast-paced development environment. Leadership skills to guide and mentorjunior developers, fostering their growth and skill development. Strong organizational and time management skills to manage multiple tasks and priorities effectively. Adaptability to stay current with evolving event-driven technologies and industry trends. Customer-focused mindset, with a dedication to delivering solutions that meet or exceed customer expectations. Creative thinking and innovation mindset to drive continuous improvement and explore new possibilities. Collaborative and team-oriented approach to work, valuing open communication and diverse perspectives. Preferred technical and professional ex

Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns, strong knowledge of ORM tools like Hibernate or JPA Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowledge of micro-service logging, monitoring, debugging and testing,In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes Experience in messaging platforms such as Kafka or IBM MQ Good understanding of Test-Driven-Development, familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands Preferred technical and professional experience Significant software development experience, including 4-6+ years of experience in web UI application development

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5-8 years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5-8 years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Automated Testing Good to have skills : Core Banking, Java, Selenium Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. You will apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead team planning and ecosystem integration - Develop end-to-end testing strategies - Define and implement key metrics to manage and assess the testing process Professional & Technical Skills: -Must have 5-8 years of experience in API test automation, with a strong focus on developing automated test scripts and frameworks. - Must have hands-on experience with API testing tools like Postman, Rest Assured or similar tools. - Must Have Skills: Proficiency in Automated Testing, Selenium, API Testing - Strong understanding of test automation frameworks - Must have proficiency in scripting languages like Java, JavaScript, or Python to automate test scripts. - Expertise in mocking and stubbing APIs using tools like WireMock, Mock Server, or other service virtualization tools. - Hands on experience on Testing/New Man Automation/Karate API Automation - Experience in Enhancing/Creation of BDD Automation Framework for GUI/API. - Experience in BDD concepts such as Cucumber, Maven, TestNG etc. - Good To Have Skills: Experience with Selenium and Core Banking. - Knowledge of microservices architecture and API interactions, and experience with Docker. - Experience with Kafka consumer/producer testing - Ability to create and validate API data for testing purposes. Additional Information: - The candidate should have a minimum of 5 years of experience in Automated Testing. - This position is based at our Gurugram Client office, Its mandate to work from Gurugram 3 days/week - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Automated Testing Good to have skills : Selenium, Java Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. You will apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead team planning and ecosystem integration - Develop end-to-end testing strategies - Define and implement key metrics to manage and assess the testing process Professional & Technical Skills: -Must have overall 6-8 years of experience in testing (5+ years of experience in test automation). - Must have hands-on experience with API testing tools like Postman, Rest Assured or similar tools. - Must Have Skills: Selenium/WDIO - Strong understanding of test automation frameworks - Must have proficiency in scripting languages like Java, JavaScript, or Python to automate test scripts. - Expertise in mocking and stubbing APIs using tools like WireMock, Mock Server, or other service virtualization tools. - Hands on experience on Testing/New Man Automation/Karate API Automation - Experience in Enhancing/Creation of BDD Automation Framework for GUI/API. - Experience in BDD concepts such as Cucumber, Maven, TestNG etc. - Good To Have Skills: Experience with Selenium and Core Banking. - Knowledge of microservices architecture and API interactions, and experience with Docker. - Experience with Kafka consumer/producer testing - Ability to create and validate API data for testing purposes. Additional Information: - The candidate should have a minimum of 6-8 years of experience in Automated Testing. - This position is based at our Gurugram office, Its mandate to work from Gurugram 3 days/week - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Automated Testing Good to have skills : Selenium, Core Banking, Java Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. You will apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead team planning and ecosystem integration - Develop end-to-end testing strategies - Define and implement key metrics to manage and assess the testing process Professional & Technical Skills: -Must have 5-8 years of experience in API test automation, with a strong focus on developing automated test scripts and frameworks. - Must have hands-on experience with API testing tools like Postman, Rest Assured or similar tools. - Must Have Skills: Proficiency in Automated Testing, Selenium, API Testing - Strong understanding of test automation frameworks - Must have proficiency in scripting languages like Java, JavaScript, or Python to automate test scripts. - Expertise in mocking and stubbing APIs using tools like WireMock, Mock Server, or other service virtualization tools. - Hands on experience on Testing/New Man Automation/Karate API Automation - Experience in Enhancing/Creation of BDD Automation Framework for GUI/API. - Experience in BDD concepts such as Cucumber, Maven, TestNG etc. - Good To Have Skills: Experience with Selenium and Core Banking. - Knowledge of microservices architecture and API interactions, and experience with Docker. - Experience with Kafka consumer/producer testing - Ability to create and validate API data for testing purposes. Additional Information: - The candidate should have a minimum of 5 years of experience in Automated Testing. - This position is based at our Gurugram Client office, Its mandate to work from Gurugram 3 days/week - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Automated Testing Good to have skills : Core Banking, Java, Selenium Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. You will apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead team planning and ecosystem integration - Develop end-to-end testing strategies - Define and implement key metrics to manage and assess the testing process Professional & Technical Skills: -Must have 5-8 years of experience in API test automation, with a strong focus on developing automated test scripts and frameworks. - Must have hands-on experience with API testing tools like Postman, Rest Assured or similar tools. - Must Have Skills: Proficiency in Automated Testing, Selenium, API Testing - Strong understanding of test automation frameworks - Must have proficiency in scripting languages like Java, JavaScript, or Python to automate test scripts. - Expertise in mocking and stubbing APIs using tools like WireMock, Mock Server, or other service virtualization tools. - Hands on experience on Testing/New Man Automation/Karate API Automation - Experience in Enhancing/Creation of BDD Automation Framework for GUI/API. - Experience in BDD concepts such as Cucumber, Maven, TestNG etc. - Good To Have Skills: Experience with Selenium and Core Banking. - Knowledge of microservices architecture and API interactions, and experience with Docker. - Experience with Kafka consumer/producer testing - Ability to create and validate API data for testing purposes. Additional Information: - The candidate should have a minimum of 5 years of experience in Automated Testing. - This position is based at our Gurugram Client office, Its mandate to work from Gurugram 3 days/week - A 15 years full time education is required. 15 years full time education Show more Show less

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Our Values : At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation. With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world. Job Overview And Responsibilities United Airlines is seeking talented people to join the Data Engineering team. Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus. You will work as a Senior Engineer - Machine Learning and collaborate with data scientists and data engineers to: Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United Build complex data ingestion and transformation pipelines for batch and real-time data Support large scale model training and serving pipelines in distributed and scalable environment This position is offered on local terms and conditions within United’s wholly owned subsidiary United Airlines Business Services Pvt. Ltd. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Qualifications Required BS/BA, in Advanced Computer Science, Data Science, Engineering or related discipline or Mathematics experience required Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with ML methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience developing cloud-native solutions with Docker and Kubernetes Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X Experience building real-time and event-driven stream processing pipelines with technologies such as Kafka, Flink, and Spark Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context Strong desire to stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies Experience 3 + years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2 + years of experience working in cloud environments (AWS preferred) 2 + years of experience with Big Data technologies such as Spark, Flink 2 + years of experience with cloud-native DevOps, CI/CD At least one year of experience with Docker and Kubernetes in a production environment Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position Preferred Masters in computer science or related STEM field GGN00001744 Show more Show less

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Automated Testing Good to have skills : Core Banking, Java, Selenium Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. You will apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead team planning and ecosystem integration - Develop end-to-end testing strategies - Define and implement key metrics to manage and assess the testing process Professional & Technical Skills: -Must have 5-8 years of experience in API test automation, with a strong focus on developing automated test scripts and frameworks. - Must have hands-on experience with API testing tools like Postman, Rest Assured or similar tools. - Must Have Skills: Proficiency in Automated Testing, Selenium, API Testing - Strong understanding of test automation frameworks - Must have proficiency in scripting languages like Java, JavaScript, or Python to automate test scripts. - Expertise in mocking and stubbing APIs using tools like WireMock, Mock Server, or other service virtualization tools. - Hands on experience on Testing/New Man Automation/Karate API Automation - Experience in Enhancing/Creation of BDD Automation Framework for GUI/API. - Experience in BDD concepts such as Cucumber, Maven, TestNG etc. - Good To Have Skills: Experience with Selenium and Core Banking. - Knowledge of microservices architecture and API interactions, and experience with Docker. - Experience with Kafka consumer/producer testing - Ability to create and validate API data for testing purposes. Additional Information: - The candidate should have a minimum of 5 years of experience in Automated Testing. - This position is based at our Gurugram Client office, Its mandate to work from Gurugram 3 days/week - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Automated Testing Good to have skills : Selenium, Core Banking Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. You will apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead team planning and ecosystem integration - Develop end-to-end testing strategies - Define and implement key metrics to manage and assess the testing process Professional & Technical Skills: -Must have overall 6-8 years of experience in testing (5+ years of experience in test automation). - Must have hands-on experience with API testing tools like Postman, Rest Assured or similar tools. - Must Have Skills: Selenium/WDIO - Strong understanding of test automation frameworks - Must have proficiency in scripting languages like Java, JavaScript, or Python to automate test scripts. - Expertise in mocking and stubbing APIs using tools like WireMock, Mock Server, or other service virtualization tools. - Hands on experience on Testing/New Man Automation/Karate API Automation - Experience in Enhancing/Creation of BDD Automation Framework for GUI/API. - Experience in BDD concepts such as Cucumber, Maven, TestNG etc. - Good To Have Skills: Experience with Selenium and Core Banking. - Knowledge of microservices architecture and API interactions, and experience with Docker. - Experience with Kafka consumer/producer testing - Ability to create and validate API data for testing purposes. Additional Information: - The candidate should have a minimum of 6-8 years of experience in Automated Testing. - This position is based at our Gurugram office, Its mandate to work from Gurugram 3 days/week - A 15 years full time education is required. 15 years full time education Show more Show less