Data Analytics Engineer

Responsibilities

• Analyze, design, develop, and implement RESTful services and APIs.
• Be involved in the development life cycle and perform definition and feasibility analysis.
• Implement, integrate, and document a variety of software platforms through the REST API framework.
• Apply the latest software design techniques and contribute to the technical design of new solutions.
• Modify existing programs, prepare test data and functional specifications.
• Troubleshoot issues and solve problems, identify potential process improvement areas.
• Implement common APIs based on architecture guidelines and frameworks
• Write object-oriented, clean, and maintainable code.
• Delivery quality results on time with minimal supervision.

Requirement

• 1-3 years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with atleast one programming language: Python and/or Scala.
• Strong knowledge in one or more of the following big data frameworks: Hive, Spark, Kafka etc.
• Strong expertise in big data, data warehousing, and hands-on experience of using DevX tools and CI/CD frameworks.
• Experience developing solutions for cloud computing services using cloud based infrastructure and services.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.