We are engineering partners for Client development team in India & US. Our engineers work with Client engineering team to build highly scalable and highly performing applications on top of Client platform in addition to building platform components.

The Client’s team is developing tools to analyse, visualise, process, manage and curate data at large scale. We are looking for Hadoop Engineer who can be part of the team building a massive, scalable, distributed systems that process geospatial data at scale to power our products. Your support will be running on a big data environment with 10K+ nodes and data running into few peta bytes.

1. Experience range: 6 to 9 Years
2. Well versed with AWS – EMR, and other AWS services and dashboards
3. Preferred – AWS certification for EMR cluster management
4. Should be strong in Spark troubleshooting
5. Responsible for maintaining large scale (1000+ nodes) production Hadoop clusters supporting MR and Spark.
6. Strong knowledge of kerberos for operation and debugging C issues in Hadoop
7. Point of contact for Hadoop related issues coming from Application teams and internal clusters
8. Improve scalability, service reliability, capacity, and performance of the cluster and applications • running in the cluster.
9. Triage production issues when they occur with other operational teams.
10. Conduct ongoing maintenance across our large scale deployments across the world • Write automation code for managing large Big Data clusters
11. Hands on experience to troubleshoot incidents, formulate theories and test hypothesis, and • narrow down possibilities to find the root cause.
12. Deep understanding of Hadoop Eco system including Hive, MR, Spark and Zeppelin • Understanding and hands on experience with AWS Big data is a plus

• Sr. Hadoop Engineers will work with cross-functional collaboration and communication with members from other teams within Client (E.g. Developers, Leads, UX Designer, QA, Program Manager, Architects) to complete development
  and integration work

Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

1. Excellent programming skills and knowledge of Java / Scala
2. Solid and fluent understanding of algorithm and data structures
3. Excellent software design, problem solving and debugging skills
4. Ability to learn new and existing technologies
5. Experience with modern big data technologies such as Spark, NoSql, Cassandra, Kafka, Map Reduce, Hadoop ecosystem is a must have
6. Experience of providing technical leadership to a small team is a big plus.
7. Experience with data analytics and ability to mine data to obtain insights is much appreciated
8. Demonstrated high ownership in previous projects
9. Excellent oral and written communication skills.

• Design and implementation of machine learning models across various applications.
• Integrate AI technologies like RPA and NLP to enhance automation.
• Collaborate with cross-functional teams to ensure AI solutions meet business needs.
• Guide project teams to successful outcomes and foster a culture of innovation

• Education: Bachelor’s in computer science, AI, ML, or related field.
• Experience: 3-5 years in AI/ML development.
• Technical Skills:
  • Expertise in AI/ML algorithms, deep learning, NLP, and computer vision.
  • Proficiency in Python, R, or similar programming languages.
  • Experience with ML frameworks (TensorFlow, PyTorch) and deployment tools (Docker,Kubernetes, AWS/GCP/Azure).
  • Familiarity with big data technologies and MLOps practices.

• Lead the design and implementation of machine learning models across various applications.
• Integrate AI technologies like RPA and NLP to enhance automation.
• Collaborate with cross-functional teams to ensure AI solutions meet business needs.
• Guide project teams to successful outcomes and foster a culture of innovation.
• Provide technical leadership and strategic advice on AI initiatives.

• Education: Master’s or PhD in Computer Science, AI, ML, or related field.
• Experience: 6-8 years in AI/ML development with leadership experience.
• Technical Skills:
  • Expertise in AI/ML algorithms, deep learning, NLP, and computer vision.
  • Proficiency in Python, R, or similar programming languages.
  • Experience with ML frameworks (TensorFlow, PyTorch) and deployment tools (Docker, Kubernetes, AWS/GCP/Azure).
  • Familiarity with big data technologies and MLOps practices.
• Leadership: Proven ability to lead and mentor teams, align AI projects with business goals, and
  communicate effectively with both technical and non-technical stakeholders.

• 7-9 years of hands-on experience in Java development.
• Strong proficiency in Spring Boot, Microservices, and RESTful APIs.
• Experience with MongoDB or other NoSQL databases.
• Knowledge of BPM tools (e.g., Camunda, Activiti).
• Excellent problem-solving and debugging skills.
• Strong understanding of software design principles and patterns.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
• Experience with Agile methodologies (e.g., Scrum, Kanban).

• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of containerization technologies (Docker, Kubernetes).
• Experience with CI/CD pipelines and DevOps practices.

• Analyze large structured and unstructured datasets to derive actionable insights and support strategic initiatives.
• Design, build, and deploy machine learning models and algorithms to deliver predictive and prescriptive solutions.
• Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
• Perform data preprocessing, including cleaning, transformation, and feature engineering, to ensure high-quality inputs for models.
• Create compelling data visualizations and dashboards to present findings to stakeholders.
• Continuously evaluate and refine models to improve performance and ensure alignment with business objectives.
• Work with data engineers to establish and maintain efficient data pipelines and infrastructure.
• Stay current with advancements in data science, AI, and related technologies to incorporate best practices into the team’s workflow.

• Proficiency in Python and data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Experience in building and deploying machine learning models and conducting statistical analyses.
• Strong understanding of data preprocessing, exploratory data analysis (EDA), and data visualization using tools like Tableau, Power BI, or Matplotlib.
• Skilled in writing and optimizing SQL queries for data extraction and analysis.
• Familiarity with cloud platforms like AWS, Azure, or GCP for scalable data processing and model deployment.
• Solid grasp of statistics, probability, and hypothesis testing.

• Experience with Natural Language Processing (NLP) tools and techniques.
• Familiarity with MLOps frameworks for streamlined model lifecycle management.
• Knowledge of big data technologies like Spark or Hadoop.
• Understanding of time-series forecasting, recommendation engines, or similar specialized domains.
• Hands-on experience with version control tools like Git.

• Design, develop, and test user interfaces for web and mobile applications.
• Implement responsive and cross-browser compatible front-end solutions.
• Leverage ReactJS, React Native, Redux, and React Hooks to build robust and scalable applications.
• Optimize application performance and user experience.
• Collaborate with back-end developers to integrate front-end components with APIs.
• Stay up-to-date with the latest front-end technologies and trends.

• 3-5 years of experience in front-end development.
• Strong proficiency in ReactJS, React Native, Redux, and React Hooks.
• Experience with HTML, CSS, and JavaScript.
• Understanding of responsive design and cross-browser compatibility.
• Knowledge of front-end build tools (Webpack, Babel).
• Good problem-solving and debugging skills.
• Strong communication and interpersonal skills.
• Experience with version control systems (Git).

• Experience with state management libraries (e.g., Context API).
• Knowledge of testing frameworks (Jest, React Testing Library).
• Experience with TypeScript and Understanding of accessibility standards (WCAG).

• Design, develop, and test Java applications using Spring Boot framework.
• Implement RESTful APIs and microservices.
• Work with MongoDB to design and implement efficient data storage solutions.
• Collaborate with other team members to understand and implement business requirements.
• Write clean, well-structured, and maintainable code.
• Troubleshoot and resolve technical issues.
• Stay up-to-date with the latest technologies and trends in the Java ecosystem.

• 3-5 years of experience in Java development.
• Strong proficiency in Spring Boot and Spring Framework.
• Experience with RESTful APIs and microservices.
• Knowledge of MongoDB or other NoSQL databases.
• Understanding of software design principles and patterns.
• Ability to write clean, efficient, and maintainable code.
• Good problem-solving and debugging skills.
• Strong communication and interpersonal skills.
• Experience with Agile methodologies (e.g., Scrum, Kanban).

• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of containerization technologies (Docker, Kubernetes)
• Experience with CI/CD pipelines and DevOps practices.

• Design, develop, and maintain automation frameworks using Python to ensure scalable and reusable solutions.
• Develop and execute test plans, test cases, and automation scripts to validate APIs, backend systems, and integrations.
• Perform functional, integration, and regression testing for applications.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Conduct performance and load testing for APIs to ensure optimal application performance.
• Identify, analyze, and document bugs and track their resolution.
• Implement and enhance CI/CD pipelines to integrate automated tests into the development lifecycle.
• Continuously improve testing processes, tools, and practices to ensure high-quality releases.
• Mentor and guide junior QA team members in testing practices and automation.

• Strong programming skills in Python and experience in building test automation frameworks.
• Proficiency in API testing using tools like Postman, REST Assured, or similar.
• Deep understanding of RESTful APIs, their architecture, and common testing techniques.
• Hands-on experience with CI/CD pipelines and tools like Jenkins, GitLab CI, or Azure DevOps.
• Solid understanding of software QA methodologies, tools, and best practices.
• Experience in testing tools like Selenium, Pytest, or similar.
• Familiarity with database testing and SQL queries.
• Knowledge of performance testing tools such as JMeter or Locust.

• Experience in cloud platforms like AWS, Azure, or GCP.
• Knowledge of containerization tools like Docker and orchestration tools like Kubernetes.
• Exposure to BDD frameworks like Cucumber or Behave.
• Familiarity with security testing practices and tools.