SQL Server SSIS Developer

Overview

On Site
70/hr} - 78/hr}
Full Time

Skills

Financial services
Finance
Training
Military
Extract
transform
load
Big data
Management
Microsoft SQL Server
Microsoft SSIS
PySpark
Scala
Apache Spark
Google Cloud Platform
Google Cloud
Cloud storage
Jenkins
Ansible
Quality assurance
Network layer
DevOps
Design
Data flow
Data management
Analytical skill
Data
Use cases
Analytics
Metrics
Cyber security
Data Science
Reporting
Leadership
Organizational change management
Governance
Data processing
Software development
Data engineering
IMPACT
Planning
Database
Evaluation
Policies
Regulatory Compliance
Collaboration

Job Details

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Database Engineer in Chandler. AZ (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience
  • BigData management practices, Microsoft SQL Server / SSIS development, pySpark, Scala Spark, Google Cloud (BigQuery, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible.
  • T-shaped engineering skills to address questions/clarifications directly with domain SMEs, quality engineering coverage, and L3/DevOps coverage.
  • 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

What You Will Be Doing
  • 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.
  • BigData management practices, Microsoft SQL Server / SSIS development, pySpark, Scala Spark, Google Cloud (BigQuery, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible.
  • T-shaped engineering skills to address questions/clarifications directly with domain SMEs, quality engineering coverage, and L3/DevOps coverage.
  • Design, develop, and deploy complex data flows, define new data management solutions and standards, create and maintain domain data product designs, and everything else involved in supplying high quality analytical data for cyber security use cases (threat analytics, governed metrics, cybersecurity data science) as well as report issues to engineering teams and product leadership appropriately.
  • Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
  • Provide code peer review oversight and governance. Ensure optimal distributed data processing coding practices are defined in the engineering handbook.
  • Proactively collaborate and consult with internal product teams to resolve highly complex and risky data engineering challenges.
  • Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
  • Provide code peer review oversight and governance. Ensure optimal distributed data processing coding practices are defined in the engineering handbook.
  • Proactively collaborate and consult with internal product teams to resolve highly complex and risky data engineering challenges.
  • Consult on complex initiatives with broad impact and large-scale planning for Database Engineering.
  • Review and analyze complex multi-faceted, larger scale or longer-term Database Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.
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