Job description Description What Were Looking For: Meltwater is a global leader in media intelligence and social analytics Our mission is to help businesses make more informed decisions by providing them with actionable insights drawn from the vast ocean of online data With a diverse and talented team across the globe, we are dedicated to innovation and committed to pushing the boundaries of whats possible in our field. We are seeking a Software Engineer to join our new Automations team in the Hyderabad office In this role, you will play a vital part in building advanced automation-driven solutions that enhance the value and scalability of our products for a global client base You will report directly to the Software Team Lead Automations and work closely with cross-functional teams including Product, DevOps, and Data Engineering to deliver high-impact solutions. Were looking for a proactive, fast-learning engineer who thrives in collaborative, agile environments and is eager to contribute across all stages of the development lifecycle. At Meltwater, we foster a culture of continuous learning, team autonomy, and a DevOps mindset Our engineering teams take full ownership of their subsystems, including infrastructure management and participation in on-call rotations As a member of the Automations team, you will work extensively with modern technologies such as Azure services, Elasticsearch, AWS Lambda, and Terraform. We value experience in search engines, big data analytics, infrastructure, systems engineering, and distributed systems This role offers the opportunity to work on challenging, large-scale systems whether by extending open-source libraries or driving innovation through existing technologies. If you're passionate about building distributed systems at scale and driving automation to unlock insights from vast amounts of data, we invite you to be part of this exciting journey. What You'll Do: Analyze use cases, plan, and estimate work efforts. Design, develop, test, and maintain high-quality software components. Take full ownership of developed services within the team. Create robust, scalable, and maintainable software solutions using Java and related technologies. Collaborate closely with cross-functional teams to deliver software solutions that meet business requirements. Design efficient algorithms, data structures, and multithreaded applications for optimal performance. Participate actively in all phases of the software development lifecycle. Research and evaluate new technologies to enhance development processes and product capabilities. Troubleshoot and debug software issues, providing timely resolutions. Contribute to code reviews, architectural discussions, and technical documentation. What You'll Bring: Bachelor's or masters degree in Computer Science or a related field Minimum of 5 years of hands-on experience in software development using Node.js (Express/NestJS) and Python (Django/Flask/FastAPI) Typescript, Azure Cloud. Proficiency in Functional Programming, encompassing data structures, algorithms, and multithreading. Proficiency in TypeScript features such as type definitions, decorators, generics, and async/await for building robust and scalable applications. Strong understanding of performance optimization, memory management, and CPU utilization. Experience with testing frameworks, particularly jest, mocha, pytest, or behave Familiarity with dependency management tools. Familiarity with designing and maintaining microservices in a distributed architecture. Deployment expertise in cloud environments. Design and implementation proficiency in microservices architecture, including REST and Azure Function Apps. Knowledgeable about Azure, Kubernetes, and Docker for containerization and orchestration. Curiosity and a passion for learning new technologies and concepts Enjoyment in collaborative problem-solving endeavours. Exceptional written and verbal communication skills in English. Openness to a hybrid work schedule, requiring one day per week in the office. Ability to collaborate with frontend develop

Job description About The Role: Efficient Automation and Tool Development. High quality testing results across multiple platforms. Thriving with responsibility, challenges and aggressive goals. Ability to communicate, collaborate and deliver. Increase and improve our automated test coverage. Lead and Mentor the automation team.What You'll Do: Design, develop, extend, and maintain automation frameworks, tools and scripts to enhance the efficiency and accuracy of testing, with a particular focus on performance, stress and longevity testing. Implement and manage CI/CD pipelines for the automation and testing processes to optimize software development, testing and release workflows. Review engineering technical design documents and requirements Provide plan and strategy on how and where to build in testability. Lead comprehensive testing efforts on all three major platformsWindows, Mac and Linux to ensure consistent and reliable performance across different operating systems. Contribute to existing tools, frameworks and related solutions. Collaborate with teams to expand the scope of test coverage. Leverage knowledge of cloud services and containerization to create and manage testing environments, ensuring they are efficient, scalable and aligned with best practices. Oversee testing for system reliability and scalability, ensuring that performance and quality standards are met and proactively identifying areas of improvement. Ability to create and maintain test infrastructure Build the frameworks and packages required to implement automation. Mentor and lead the automation team, providing guidance, support and opportunities for growth, while fostering high-performing team culture. What You'll Need: A computer science background or equivalent 10+ years of experience (programming styles, data structures, algorithms, etc.). Exposure in cross-platform testing to ensure consistent performance, reliability and scalability across different operating system. Experience with any/all of the following: Python, C++, Groovy, Bash, PowerShell. Proficient with Networking: protocols, distributed systems, layered architectures. Knowledge of cloud services and containerization technologies. Web Services: JSON, REST, RPC, XML, AWS EC2 & S3. Strong debugging skills: ability to spot design flaws, race conditions and performance bottlenecks in complex architectures. Prior application, OS, web browser or hardware compatibility testing. Computer and/or network security experience/understanding. Bonus Points: Authored and/or lead successful open-source libraries and projects. Contributions to the open-source community (GitHub, Stack Overflow, blogging). Exposure to Go, AWS, Cassandra, Kafka, Elasticsearch, GRPC, Docker, Kubernetes, Jenkins. Role: Front End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Frontend Engineering BackboneAngularJSCSSEmber.jsQUnitHTMLMochaReact/Fluxtesting frameworksSCSSJavaScriptEmberSelenium

Job description Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Role: Data warehouse Architect / Consultant Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills ETL Google BigQueryAWS Redshiftdata warehousesETL pipelinesSQLPython

Job description Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Role: Data warehouse Architect / Consultant Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills ETL Google BigQueryAWS Redshiftdata warehousesETL pipelinesSQLPython

Job description Looking for atleast 5+ years of experience in Automotive industry Proven experiences in test automation for embedded products in automotive Proficient in Python programming and preferably experienced working with Robot Frameworks. Experienced in the use of Vector tools CANalyzer, CANoe and CAPL. Knowledge in communication protocols CAN, LIN, FlexRay, Ethernet. Knowledge in setup and operations of HIL and SIL technologies Knowledge of and experience from embedded Software You architect automation testing solutions to cover test objectives from software tests up to integrated system tests on virtual and physical embedded targets. You offer automation testing solutions as a platform allowing the development teams to provide and run their application-specific tests in the CI/CD pipeline and independent of CI/CD pipeline. Lead in designing and operating efficient test automation. Experience in offering automation testing solutions as a platform service. Knowledge in any one of the following areas: Work with testing and implementation of automated/manual testing on Complete Vehicle Electronics System level to secure both BaseTech (SWDL, network management etc.) and customer function. Testing in Boxcar and HIL. Work with testing and implementation of automated/manual testing on SW and System level to secure ADAS, Brake, Suspension & Steering functionality. Testing in HIL, Boxcar. Work with testing and implementation of automated/manual testing on System level to secure the quality for the Connectivity area. Testing in HIL, Boxcar Mandatory Key Skills CI/CD,HIL,CANalyzer,CANoe,CAPL,ADAS,SWDL,network management,manual testing,Test Engineering* Role: Automation Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Test Engineering CANalyzerCAPLCI/CDCANoemanual testingHILADASSWDLnetwork management

Job description Responsibilities: Demands experience in Jenkins and test practices with extensive usage of open-source DevOps tools and solutions. Develop and manage robust CI/CD pipelines in Jenkins to automate the build, test, and deployment processes. Implement and maintain GitOps workflows. Manage version control and collaboration using Git and GitLab. Test our system integrity, implemented designs, application developments, and other processes related to infrastructure, making improvements as needed. Automate our operational processes as needed, with accuracy and in compliance with our security requirements. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with cross-functional teams to analyze business needs and propose innovative solutions. Extensive experience in installing, configuring, deploying, upgrading, and maintaining Artifactory. Work with open-source technologies as needed. Requirements: Strong experience with Linux-based infrastructures, and Linux/Unix administration. Expertise with CI/CD tools like Jenkins/Gitlab, and version control tools such as GIT/SVN. Experience in configuring and integrating SonarQube with Jenkins. Good Experience in satisfactory servers like Jfrog/Nexus. Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban/SAFe, etc. Knowledge of scripting languages such as Shell, Perl & Python. Experience with open-source technologies and cloud services. Experience in software development and infrastructure development is a plus. Current with industry trends, IT ops, and industry best practices, and able to identify the ones we should implement. Time and project management skills, with the capability to prioritize and multitask as needed. Solid team player. Stellar troubleshooting skills with the ability to spot issues before they become problems. skills: Linux-based infrastructures, Linux/Unix administration, CI/CD, Jenkins/Gitlab, GIT/SVN, SonarQube, Jenkins, Jfrog/Nexus, Agile, Jira, Scrum/Kanban/SAFe, Shell, Perl & Python, open-source technologies , cloud services, software development , infrastructure development Mandatory Key Skills python,perl,unix administration,xml,project management,Scrum,Kanban,DevOps* Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills DevOps pythonproject managementKanbanxmlunix administrationScrumperl

Job description Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Role: Data warehouse Architect / Consultant Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Engineering Google BigQueryAWS Redshiftmachine learning modelscloud data platformsdata warehousesETL pipelinesSQLPython

Job description Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Role: Data warehouse Architect / Consultant Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Engineering Google BigQueryAWS Redshiftmachine learning modelscloud data platformsdata warehousesETL pipelinesSQLPython

Job description Required: Expertise in AWS, including basic services like networking, data and workload management. o AWS Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc. Data: RDS, DynamoDB, ElasticSearch Workload: EC2, EKS, Lambda, etc. Required Skills: Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration. Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like a pod, deployment, networking, and service mesh. Used any package manager like Helm. Scripting experience (python), automation in pipelines when required, system service. Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code. Optional: Experience in any programming language is not required but is appreciated. Good experience in GIT, SVN or any other code management tool is required. DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artefacts, infrastructure and code. Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc) Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills DevOps JenkinsElasticsearchGithubOpenTelemetryAWSGitlabKubernetes

Job description We are seeking a highly skilled and experienced Associate Director of Data Engineering to lead our data engineering team and support our data science and business intelligence teams. The Engineering Director will build and manage a high-performance team of Data Engineers and will foster a data-driven culture across the organization. The Director of Data Engineering will be responsible for developing and implementing strategies for data collection, storage, processing, and analysis to meet the needs of the organization. This role will require a strong understanding of data engineering, data management, and data analytics technologies and techniques. Responsibilities: Lead the development and implementation of data engineering strategies to support data science and business intelligence teams. Oversee the design, development, and maintenance of our data infrastructure, including data pipelines, data warehousing, and data integration solutions. Collaborate with data scientists and business intelligence teams to ensure that data is collected, stored, processed, and analyzed in a way that meets their needs. Ensure that our data is accurate, reliable, and secure. Ensure that the team designs, develops, and delivers high-quality, performant, scalable, well-tested, documented, and sensible technical solutions suitable to high-impact technical challenges Develop and implement best practices for data management, data governance, and data quality. Manage and mentor a team of data engineers and data architects. Stay up-to-date with the latest data engineering, data management, and data analytics technologies and techniques. Work closely with other departments to identify data-related opportunities and challenges and develop solutions to address them. Bachelors or Masters degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering, data management, or a related field. 5+ years of experience in managing data engineering teams Role: Data Engineer Industry Type: Industrial Automation Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceNoSQLdata securitySCALAData collectionSystem designData qualityBusiness intelligenceSQLPython