Big Data Engineer

04 Jun 2024

Vacancy expired!

  • BS in Computer Science. MS Preferred.
  • Strong CS fundamentals including data structures, algorithms and distributed systems.
  • Strong database fundamentals including SQL, performance and schema design.
  • 5+ years of strong Programming (Java or Scala, or Python)
  • 5+ years working with Distributed Systems
  • 5+ years of hands-on Software Engineering experience
  • 5+ years of experience integrating technical processes and business outcomes specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes.
  • Experience with Hadoop, Hive, HBase, Spark, Kafka, Storm, Druid, Cassandra, Columnar Databases and Graph Databases.
  • 1+ years working with Cloud Technologies.
  • Experience with varios offerings from AWS, including S3, EMR, Redshift, Data Pipeline, Athena and Kinesis is a plus
  • History of contributing to open source projects is a plus.
  • 3+ years DevOps experience including configuration, optimization, backup, high reliability, monitoring and systems version control.
  • Track record working with data from multiple sources willingness to dig-in and understand the data and to leverage creative thinking and problem-solving.
  • Excellent interpersonal and communication skills, including business writing and presentations.
  • Ability to communicate objectives, plans, status and results clearly, focusing on critical few key points.
  • Demonstrated ability to work in a matrix environment, ability to influence at all levels, and build strong relationships.
  • Knowledge of enacting service level agreements and the appropriate escalation and communication plans to maintain them. How you will lead
  • Design and develop big data and real-time analytics solutions using industry standard technologies.
  • Develop web services that make big data available in real-time for in-product applications.
  • Work with data architects to ensure that Big Data solutions are aligned with company-wide technology directions.
  • Lead fast moving development teams using agile methodologies.
  • Lead by example, demonstrating best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.
  • Communicate progress across organizations and levels from individual contributor to senior executive.
  • Identify and clarify the critical few issues that need action and drive appropriate decisions and actions.
  • Communicate results clearly and in actionable form.
  • Serve as technical go to person for our core technologies Hadoop, Spark, AWS, Vertica, Tableau, Cassandra, Graph Databases and others.
  • Demonstrate strong implementation aptitude to translate objectives into a scalable solution to meet the needs of the end customer while meeting deadlines.

  • ID: #42387708
  • State: California Mountainview 94035 Mountainview USA
  • City: Mountainview
  • Salary: Depends on Experience
  • Job type: Contract
  • Showed: 2022-06-04
  • Deadline: 2022-07-15
  • Category: Et cetera