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Purpose of the job:
Our customer takes the leading position in advanced data analytics and engineering expertise. Therefore, it is a huge infrastructure with a lot of niches for engineering and development. As a part of the team, a candidate's mission is an investigation of the existing analytic platform, based on Python, Apache Spark and AWS Cloud services, as well as update and support it in a long-term perspective.
MAIN TASKS AND RESPONSIBILITIES:
- Take part in requirements analyzes
- Identify and encourage areas for growth and improvement within the team
- Interact with customer and provide technical solutions
- Work with engineering, data science and product management teams to build and manage a wide variety of data sets
- Identify gaps and build the tools to increase the speed of analysis
- Implement new features
- Update and support an existing functionality
- Conduct code reviews
- Drive features from conception to deployment in an agile team with continual delivery
- Provide support to QA and other teams
- Be technical mentor for less experienced team members
EDUCATION, SKILLS AND EXPERIENCE:
MUST HAVE:
- 5+ years of experience in developing software at scale
- 3+ years of Python commercial development experience
- Mathematical and statics skills
- Experience with Apache Spark (pyspark)
- Strong experience with Pandas library
- Strong experience with scientific tools (numpy, scipy)
- Strong experience with relational database
- Experience with data visualization
- Unit testing experience
- Think at scale, and with high availability
- Can work with cross-team members on large and complex projects
- Can breakdown a complex situation and come up with an elegant solution
- Sufficient English level for communication (verbal & written)
- Fast research and learning skills
WOULD BE A PLUS:
- Technical University degree
- Knowledge of ML algorithms
- Experience with AWS services like EC2, S3, EMR, etc.
- Experience with Mesos or Kubernetes.
- Experience with Docker.
- Experience with R