Technical Solutions Expert

1 week ago

Gurgaon, Haryana, India Orange Business Services Full time

about the role

We are looking for a dynamic Technical Architect with expertise in Big Data technologies and software development to join our team. The ideal candidate will be responsible for leading the architectural design and development of large-scale data solutions, while also providing leadership and mentorship to the technical team, the Run and Support team, the Security team, and the platform provider, in an international and multicultural context (France, India, Morocco, etc.).This role drives the Enterprise Data Hub (EDH) development along with application development and management of multiple use cases over and above , by applying the specified standards, procedures and guidelines to ensure high levels of security, usability, availability and performance of (Technical and Functional) needs of Data & Billing vertical in CMI – India. Though this is an " Individual Contribution role "

Key responsibility areas are as follows :

Develops and sets quality standards for system development and monitors all aspects of project work to ensure compliance with OBS's policies and standard operating procedures
- Ensures that the technical engineering capabilities are implemented, matured, and benchmarked against world class application development units.
- Working to retain and hire talent across all the necessary technical streams of EDH (Application Development, Devops engineers etc.)
- Support technical teams in daily duties.
- Participate in technical design, development, implementation, and support of Big Data applications, using existing and emerging technology available on EDH platform.
- Ensure trainings for Technical teams involved in use-case implementation in EDH
- Conducting security audits to identify areas of improvement
- Control Technical debt
- Working with developers and technical team and multiple other verticals to build guidelines and best practices and help them working on our environment
- Used JIRA & Confluence suite to maintain product backlog and sprint backlog and to create and track user stories, Sprint planning, tracking and managing sprints, created - - Scrum and Kanban boards, status reports and burn down charts.
- Identifying risks and forming contingency plans as soon as possible.

Lead the architectural design and development of complex data solutions leveraging Big Data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.

Provide technical leadership and guidance to a team of architects, developers, and engineers throughout the software development lifecycle.

Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.

Mentor and coach team members on software development best practices, architectural principles, and emerging technologies.

Ensure adherence to coding standards, architectural guidelines, and software development methodologies across projects.

Conduct code reviews and technical assessments to ensure high-quality, maintainable code and identify areas for improvement.

Drive innovation and continuous improvement initiatives to enhance development processes, tools, and techniques.

Serve as a subject matter expert on Big Data technologies and software development methodologies, providing insights and recommendations to senior management and project teams.

Foster a culture of collaboration, knowledge sharing, and excellence within the technical team.

Stay updated on industry trends, advancements, and emerging technologies in Big Data and software development.

about you

Required Skills (must have) :

• Strong Knowledges/hands-on experience about offers and features of Big data technologies (especially Hadoop, Hortonworks)

• Strong experience of development using Spark Scala, Java, JavaScript, Nifi, Kafka, Hive, Hbase

• Strong knowledge of API development

• Strong knowledge of the java frameworks (Spring MVC, Spring Security)

• Hands-on knowledge of implementing multi-staged CI / CD with tools like AWS DevOps, Jenkins, BitBucket.

• Experience in CI / CD integration within the Java / JavaScript ecosystem with build tools like Maven, Grunt, Gulp and other Devops tooling: Jenkins, , GitLab, SonarQube, GERRIT, SBT, Nexus, Docker

• Experience of AGILE methods (Scrum, Kanban)

• Active contributions to forum and dev community

• Knowledges about Elastic Search/Kibana (ELK) knowledge

• Knowledges about Linux, Unix, Windows environments

• Strong knowledge on various app monitoring tools.

• Strong knowledge of web services (WSDL Soap, Restful)

• Exposure to various Data Visualization tools such as PowerBI, Tableau, and Pentaho etc.

• Experience with MySQL, NoSql (MongoDB, Redis, DynamoDB)

• Scripting Skills: Strong scripting () and automation skills.

• Operating Systems: Windows and Linux system administration.

• Monitoring Tools: Experience with system monitoring tools (, Prometheus).

• Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues

additional information

Experience:

• Strong experience across the IT spectrum with at least 10 years in role of Big Data (Hadoop, java, spark) Analytics and Data Science programs

• Exposed to Big Data and Analytics latest market trends and technology in order to capitalize latest tech stack in existing product portfolio.

• Good exposure to software solutions and basics of hardware/networking

• Good understanding and knowledge of IT Service Concepts, Best practices and Standards

• Knowledges about offers and features of Big data technologies (Hadoop, Hortonworks or others distributions)

Deliverables:

Architecture Design Documents outlining the design and implementation of Big Data solutions.

Technical Requirements Specifications defining the technical requirements and constraints of the project.

Prototypes and Proof of Concepts demonstrating the feasibility and functionality of proposed solutions.

Technical Standards and Guidelines providing direction on architectural best practices and coding standards.

Performance Reports and Optimization Recommendations for enhancing the efficiency and scalability of software applications.

Continuous Integration/Delivery Pipelines for automating software build, test, and deployment processes.

Codebase with high-quality, maintainable code following coding standards and best practices.

Technical Reviews and Audits assessing the adherence to architectural standards and identifying areas for improvement.

contract

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