Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Job Responsibilities: Be the expert about the product within the team and assist the Lead and Engineering Manager on technical topics when required. Assist and mentor team members to perform their activities efficiently. Perform requirement understanding, generalize it, and convert it to development plan. Participate in design discussions, and code reviews. Build solutions which are efficient and can scale over huge data volumes in a reasonable timeframe. Act as a subject matter expert for focus areas across the technology space. Help identifying the dependencies, risks, and bottlenecks in the projects proactively. Work actively with the Engineering Manager to resolve them. Actively contribute to: --The breaking down of releasable pieces of value --Identification of measurements of success including DOD (definition of done) --Demonstration of business value in frequent ceremonies. --Living documentation of the domain and platform you operate in allows knowledge sharing and distribution. Required Skills: 5+ years of experience in distributed computing (spark) and software development. 3+ years of experience in spark-scala. 5+ years of experience in Data Engineering. 5+ years of experience in Python. Fluency in working with databases (preferably Postgres). Have sound understanding of Object Oriented Programming and development principles. Experience working in an Agile Scrum or Kanban development environment. Experience working with version control software (preferably Git). Experience with CI/CD pipelines. Experience with automated testing including integration/delta, Load and Performance Good to Have Skills: Experience of working with Dockers and Containers. Experience of working with Kubernetes Experience of working with Airflow. Experience of working on Cloud environments (GCP and Azure). Experience of working with Teamcity CI and Octopus deploy
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