CI
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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