Sr. Data Engineer
Job Opportunity at Cyntekk Solutions Inc.

Posted on Nov 17


Location: Burbank, CA
Job Type: Contract
Job ID: W4169900

  • Work on all phases of projects from design to implementation including specifications, development, testing, rollout, documentation and, if applicable, turnover to the Maintenance Engineering and Operations Team.
  • Work within state-of-the-art engineering practices (i.e. SCRUM, unit testing, design review, code reviews, continuous integration, etc.).
  • Partners with team lead to identify technical requirements and alternatives to accomplish project.
  • Providing accurate estimates for project development and implementation. Work with management to meet those estimates.
  • Participates in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues.
  • Mitigates risk for the project, team and company.
  • Work with the Architecture team in defining software and infrastructure technical solutions.
  • Ensures knowledge transfer to team members within and outside of immediate group.
  • Iteratively improves projects with agile delivery practices.
Basic Qualifications
  • 5-8 years of full software development lifecycle experience
  • 5 years of experience developing big-data applications
  • 3+ years of experience with Apache Spark including Spark Streaming
  • 3+ years of experience with the Hadoop batch processing framework and map reduce design patterns
  • 3+ years of experience with Java/Scala/Python in support of data applications.
  • Strong Java 1.8+ Experience
  • Strong Scala 2.11 Experience
  • Strong Linux Experience
  • Significant exposure to and demonstrated proficiency in all aspects of programming and analysis including design patterns, hardware and software requirements, systems requirements and deployment protocols
  • Agile experience using Scrum
  • Experience with open source technologies
  • Experience with a widely used RDBMS’ and SQL
  • Experience with at least one columnar NoSQL solution
Preferred Qualifications
  • Experience developing, maintaining, and innovating large scale, consumer facing web applications
  • Experience working in a large big data enterprise organization
  • Experience with Apache Airflow
  • Experience with Amazon AWS
  • Experience with AWS EMR
  • Experience with docker and Kubernetes
  • Experience with Restful APIs
  • Experience with Apache Kafka
  • Experience creating robust and reliable data pipelines
  • Familiar with the development challenges inherent with highly scalable and available data applications.
  • Experience with Apache HBase
  • Experience with Apache Hive and/or Apache Crunch
  • Experience with Apache Avro.
  • Experience with the uses of various NoSQL solutions including HBase, MongoDB, Neo4j
  • Operational experience with large software systems
  • Schema and/or Cube design experience
  • Exposure to statistics, machine learning and natural language processing applications
  • Exposure to security, PII and PCI compliance issues
Preferred Education
  • BS in computer science, engineering, mathematics or physical sciences
  • BS or MS in computer science, engineering, mathematics or physical sciences
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