Database Engineer
Concord IT Systems
Database Engineer Chandler AZ (Hybrid Role) Look for Nearby candidates Must have skills;
Comments:
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.
- Big Data management practices, Microsoft SQL Server / SSIS development, PySpark, Scala Spark,
- Google Cloud (Big Query, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible
Comments:
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.
Vacancy posted 4 days ago
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