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Data Engineer
2 months ago
Job Summary – Data Engineer
• Responsible for developing and deploying enterprise grade platforms that enable data-driven solutions. • Automate and maintain scalable infrastructure.
• Ensures delivery of a highly available and scalable systems.
• Monitor all systems and applications and ensure optimal performance.
• Research and test new tools and applications.
• Analyzes and designs technical solutions to address business needs.
• Participate in troubleshooting applications and systems issues.
• Identifies, investigates and proposes solutions to technical problems.
• Develops, tests, and modifies software to improve efficiency of data platforms and applications. Provides technical support for issues.
• Monitors system performance to maintain consistent up time.
• Provides technical expertise where required within Information Technology Projects.
• Prepares and maintains necessary documentation.
• Participate in regular agile ceremonies, such as program increment planning, daily standups, team backlog grooming, iteration retrospectives, team demos and inspect & adapt, etc.
• Keep up with the committed features and stories in the team backlog.
• Work with the project manager/scrum master to remove impediments.
• Serve in the goalie rotation to support Production.
• Support test and QA efforts on the various data projects.
• Coordinate with data operations teams to deploy changes into production.
• Highest level may function as a lead.
• Other duties as assigned. Qualifications
• Requires a Bachelor's in Computer Science, Computer Engineering or related field and some experience ADO/GIT, ETL, SQL, UNIX/Linux, Docker/Kubernetes, API Development, JSON, Kafka, Automated Testing, BDD, Big Data distributed systems, various programming languages like Java and Python, orchestration tools and processes or other directly related experience.
• A combination of education and experience may meet qualifications.
• Basic knowledge of search technology, building real-time data pipelines and various programming languages like Java and Python. Knowledge of ETL, UNIX/Linux, scheduling and orchestration tools and processes.
• Good analytical, organizational and problem-solving skills.
• Ability and desire to learn new technologies quickly.
• Ability to elicit, gather and analyze user requirements.
• Ability to work independently and collaborate with others at all levels of technical understanding.
• Able to meet deadlines. • Good judgment and project management skills.
• Ability to communicate both verbally and in writing with both technical and non-technical staff.
• Ability to work in a team environment and have good interpersonal skills.
• Ability to adapt to changing technology and priorities.
• Must be able to work independently, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively.
• Must be able to interpret, validate and map business requirements to an appropriate solution.
Years of experience needed – 5 - 7 Years
Technical Skills:
· 3-5 years CI/CD tools
· 3-5 years Git/Github
· ADO
· API
· Python Developer
· Experience in Docker and Kubernetes