Data Service Engineer

Responsibilities:
• Analyze and assess suitability of client’s data sources, set up data ingestion,
develop transform scripts and validate data outputs in multiple stages
• Work closely with Telco SMEs to evaluate source data and interpret it in a
manner that enables effect transforms to be designed and verified.
• Develop charts that can be used within presentations to illustrate data quality
and specific data issues.
• Install, configure and manage platforms required to run DataSpark products,
such as Hadoop, Spark, Kafka and Docker
• Perform system integration tests, performance tests, technical acceptance
tests, and user acceptance tests to ensure proper functioning of deployed
solutions
• Serve as the technical expert on the project teams to provide technical
support and advise Delivery team and client on all technical matters

Requirements:
• BA/BS degree in Computer Science, Software Engineering, or equivalent
• 5+ years of experience in Software Engineering, deployment / delivery engineering,
or DevOps in a customer facing role
• Demonstrated clear and thorough logical and analytical thinking, as well as problem
solving skills
• Excellence in implementing, configuring and using Big Data technologies, including
Hadoop, Spark, Kafka, Hive and Impala, and Cloud Platform such as AWS and Azure
• Working knowledge of Docker, System OS (Linux/Unix, RHEL), monitoring systems
such as Nagios or Ganglia
• Experience in integration testing, acceptance testing, and technical documentation
• Proactive communications skills, including verbal, written, and presentation
• A proven team player and contributor