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Senior Data Engineer

2 months ago

Oklahoma City, Oklahoma, United States American Fidelity Full time

Job Summary:

As a Senior Data Engineer at American Fidelity, you will be responsible for designing, developing, and implementing secure medium to complex database solutions and ETL processes. You will work in both relational, non-relational, and multi-dimensional environments, and collaborate with other IT colleagues and business users to define developmental requirements.

Key Responsibilities:

  • Design, develop, document, test, and assist in implementation of secure medium to complex database solutions and ETL processes.
  • Perform data development activities, research requests, resolve defects, and manage time and planning of project activities for data management projects (new and existing).
  • Responsible for the development and testing of solutions, including creating automated test scripts.
  • Collaborate with other IT colleagues and business users to define developmental requirements.

Requirements:

  • Advanced skills in SQL development and comfortable designing, writing, and maintaining complex SQL-based ETL, including building large-scale batch and real-time data pipelines.
  • Well-versed in designing data models and data management strategies to support analytical and modeling applications as well as Analytical and Data Science teams.
  • Strong background in data warehouse concepts and designs; ETL, Star Schema, Multi-Dimensional databases Cloud computing, ideally Azure or (but not limited to); AWS, Redshift, Lambda, Cassandra.
  • Familiar with at least one scripting language (PowerShell, JavaScript, Python, Ruby, Perl, Bash).
  • Strong data management and processing skills, including experience with Relational and Non-relational data stores (NoSQL, S3, Hadoop, etc.).
  • Ability to adjust designs to meet project objectives and timelines while maintaining the vision and goals of solid database design principles.
  • Expert in eliciting solid data element descriptions and definitions and with physical data modeling tools and proficient in at least one (e.g., Erwin).
  • Experience with SOA, Service Bus technologies, and other data abstraction tools and access layers.
  • Strong communication skills both in written (technical documents, Jupyter notebooks) and spoken (meetings, presentations) forms.
  • Efficiently work and produce results within the structure of project management methodologies (e.g., Agile, Scrum, Waterfall).
  • Demonstrate commitment to meeting organizational, department, and team goals and objectives.
  • Familiar with the DevOps, data pipeline, and sharing code repositories with tools such as GIT.