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Lead Data Engineer

Concord IT Systems

Chandler · Hybrid Full-time Lead Yesterday

About the role

Title

Database Engineer

Location

Chandler AZ (Hybrid Role)

Note

Look for Nearby candidates

Required Skills

  • Big Data management practices, Microsoft SQL Server / SSIS development, PySpark, Scala Spark
  • Google Cloud (Big Query, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible

Responsibilities

We are currently looking for a Lead Data Engineer who can:

  • Lead complex/large data delivery initiatives with broad cybersecurity domain impacts and act as key participant in large scale application planning and implementation for high-value/cyber domain use cases. Review and analyze complex application enhancement initiatives for domains, including operational or technical improvements that require in depth evaluation of multiple data, functional and non-functional factors including non-functional intangibles or unprecedented factors.
  • ? Design and develop feature enhancements or expedite maintenance / fixes on the Data Pipeline framework.
  • ? Drive the implementation and adoption of quality engineering practices and automated quality assurance solutions across the data engineering community.
  • ?? Ensure key risk areas related to data management such as data classification, attribute level data access, data completeness/accuracy, and data use are addressed in the design phase.

Requirements

  • Big Data management practices, Microsoft SQL Server / SSIS development, PySpark, Scala Spark,
  • Google Cloud (Big Query, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible
  • Lead complex/large data delivery initiatives with broad cybersecurity domain impacts and act as key participant in large scale application planning and implementation for high-value/cyber domain use cases

Responsibilities

  • Review and analyze complex application enhancement initiatives for domains, including operational or technical improvements that require in depth evaluation of multiple data, functional and non-functional factors including non-functional intangibles or unprecedented factors
  • Design and develop feature enhancements or expedite maintenance / fixes on the Data Pipeline framework
  • Drive the implementation and adoption of quality engineering practices and automated quality assurance solutions across the data engineering community
  • Ensure key risk areas related to data management such as data classification, attribute level data access, data completeness/accuracy, and data use are addressed in the design phase

Skills

AnsibleBig DataCloud StorageDevOpsGoogle CloudJenkinsLookerMicrosoft SQL ServerProcPySparkScala SparkSSIS

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