Note: The job is a remote job and is open to candidates in USA. Feuji is seeking a Data Platform Technical Lead / Senior Data Engineer to provide technical leadership and build robust, fault-tolerant backend services and data solutions. The role involves leading design discussions, mentoring team members, managing data operations, developing and supporting AWS-based systems, and collaborating across engineering, product, architecture, QA, and operations teams.
Responsibilities
- Should be able to Lead the design and develop complex systems using design pattens and implement software, data solutions by developing documentation, flowcharts, layouts, diagrams, charts. Behaviour driven and Test-Driven development (BDD/TDD) would be preferred
- Capable to drive and lead the design discussions and actively participate with Technical Product Owners, Scrum Master, Architects, Agile team and Operations team to define plans for each Sprint
- Take complete ownership of Team goals for the Sprint and help the team to reach the sprint goals by providing technical guidance and mentoring team with best practices
- Data Operations Tasks including loading and troubleshooting data processing
- Development and support of our systems including maintaining cost efficient AWS resource consumption (both processing and data base)
- Own and provide guidance on complex stories and completes them in the appropriate sprint
- Identifies and resolves dependencies and risks involved in completing the stories upfront and shares proactively
- Participates proactively in the daily stand ups, Sprint planning and retrospectives
- Follows git flow (Pull requests) and maintains the unit test coverage as well as passes the quality gate for the code that is written
- Communicates technical and operational issues to both engineering and leadership in a timely manner
- Ensure that all technology standards are adhered to while developing systems
- Work collaboratively with Technical Architects, Product owners and QA Team to define and ensure the completeness and accuracy of system / technical requirements
- Working collaboratively with other teams such as infrastructure teams to fulfil the story requirements
- Need to mentor team members as appropriate and proactively support the team for accomplishing the team deliverables
Skills
- Masters or bachelor s in engineering in IT/ Electronics / Communication / Computer Science / Information Systems
- 10+ years of strong hands-on experience in complete Software Development Life Cycle with Python, Apache Airflow, Apache Spark, Any Database and Java
- Experience in working with AWS DevOps infrastructure including CloudFormation, IAM, S3, VPC/Networking, Docker container running in AWS Fargate/Batch
- Should be able to build processes to enable efficient flow of work requests, support and product maintenance
- Should be hands-on with APIs, serverless, microservices architecture and leveraging CI/CD pipelines
- Should be hands-on working with git flow, pull requests and other version control related concepts
- Should be proficient in debugging applications, troubleshooting by running from the IDE as well as remote debugging, basic performance testing & tuning
- Should be able to estimate the effort involved in developing a feature/story
- Should be able to review, guide the other Junior, SEs/SSEs and be able to do code review, integrate the work
- Excellent verbal and written communication skills
- Strong organizational skills and adaptability to rapidly changing priorities and workloads
- Ability to work well independently and maintain focus in a highly dynamic work environment
- Knowledge on PostgreSQL in Amazon RDS is desirable
- Minimal knowledge of UX/UI design
- Minimal knowledge of application performance monitoring and observability (i.e. Datadog or New Relic)
- Knowledge of SAFe (Scaled Agile Framework) or any other agile framework
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