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Sr Data Engineer
Ref No.: 18-01283
Location: Glendale, California
Position Type:Contract
RMG Job:YES
Job Duties:
You will:
● Analyze business problems, architect, design and build high-quality software solutions
● Collaborate with customer representatives, product and project management teams
● Evangelize technologies, solutions, and best practices
● Contribute new ideas to a larger community of high-caliber professionals
● Balance resources, requirements, and complexity

We are looking for the following in a candidate:
● BS in computer science, engineering, or mathematics with 8+ years of software experience
● Passion for programming and engineering high-quality software and systems that deliver
business value
● Passion about system design, with interests and experience across the architecture from virtual
machine and language internals to distributed systems performance and analysis
● Sufficient fluency with the fundamentals of algorithms and data structures to do the analysis
necessary to inform sound technical decision-making

Basic Qualifications
You should have some mastery of:
○ A range of JVM/CLR languages, as well as scripting/systems languages like Python
○ Testing practices (unit, integration, performance)
○ Revision control with git
○ Distributed systems and API design
○ Hive, Kafka, Spark and other streaming and distributed analysis tools
○ The AWS environment and toolset
○ SQL and related data stores

Preferred Qualifications

We also use, and it would be great if you knew anything about:
○ Confluent.io
○ Maven & Pants for dependencies and builds
○ Docker, OpenShift and Kubernetes for deployment and coordination
○ Elastic Search, Kibana, or other aggregation and search tools
○ Teradata, Informatica, and other data warehousing solutions
○ Tableau, MicroStrategy, d3, and other data visualization tools
● It would be cool if you have experience with or interest in:
○ Data science, statistics, machine learning and other applied mathematics
○ Data lake implementation and support
○ Kylo, Cloudera, or other data lake management systems
○ GraphQL
○ DynamoDB or RDS