- Build a master-agent architecture to foster ETL pipelines.
- Design and implement APIs that utilizes REST best practices.
- Write and execute automated tests.
- Develop and maintain documentation that enable platform maintenance.
- Participate in infrastructure reviews to identify best practices and opportunities for improvement.
- Follow good practices and project guidelines in all cases including the use of source code control, automated testing and deployment approaches, and proper documentation practices.
- Perform and/or participate in requirements discovery and design work sessions to determine best practice solution requirements.
- Architect and develop applications supporting internal and external communications; intra-service communications.
- Collaborate with diverse technical delivery teams to build service based architecture to scale and innovate.
- Bachelor's degree in computer science, information technology, computer engineering or related field preferred.
- Work experience can be considered in lieu of a degree.
- 3+ years of experience building production applications.
- Experience working with a cloud provider (AWS/Azure/Google Cloud) or in-house data centers.
- Python Expertise
- Ability to understand a variety of system-to-system interface types and design solutions across on-prem and cloud infrastructures.
- Familiar with ETL concepts and solutions particularly for big data engineering, including experience with Apache Spark.
- In-depth understanding of relational database systems, such as Oracle, PostgreSQL, etc.
- Experience with non-relational databases such as MongDB, Redis, Elasticsearch, etc.
- Experience with web-development experience (Javascript, JSON, HTML, CSS)
- Experience with streaming/queuing frameworks such as Kafka, RabbitMQ, etc.
- Active Secret Clearance
- Experience with Palantir
- Analytical mindset – data-driven and able to problem solve, particularly in the use of platform metadata or logging data to diagnose issues raised by platform users in relation to system functionality, or data pipelines.
- Good communicator – able to deliver messages effectively, specifically as it relates to translating functional requirements into technical solutions and coordinating across technical and non-technical teams.
- Be self-motivated and self-starting – able to execute with minimal guidance, embrace new methods, and learn and apply new concepts.
- Attention to detail – focus on rigor and completeness of work output
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Application Developer - Fort Belvoir, United States - Logistics Management Institute
Description
Overview
LMI is seeking an Application Developer to help design, build, test, deploy and maintain the underlying platform to support a mission critical Army Data Layer (ADL). This role will be part of team creating the foundational platform which will eventually become the second iteration of the Army Data Platform. The Application Developer will work with Government Leads, solution architects, data owners, data stewards, process and workflow analysts, and data scientists to understand requirements and develop solutions that meet business needs. Work location is currently teleworking, eventually hybrid teleworking and client site in Fort Belvoir, VA.
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers' unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
Responsibilities
Qualifications
Minimum
Desired
