I19 - Data Analytics Engineer (046)

Roles & 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

• 2-3+ years of relevant experience in data engineering/analytics space
• Expertise in SQL and data analysis and strong hands-on expertise with at least 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
• High level of curiosity, creativity, and problem-solving capabilities

Tell employers what skills you have

Strategy & Management

Scala

Data Acquisition

Big Data Framework

Big Data

Pipelines

Hadoop

ETL

industry trends analysis

Data Engineering

Spark

SQL

Python

Cloud Services

Hive

Programming

Data Warehousing

Agile Development