Quick Overview
Job Description
TMSV is dedicated to excellence led by a team of proven, results driven professionals. Come join a winning team that puts our people first. We offer innovative work with excellent compensation and benefits packages so that you can focus on the mission. At TMSV we deliver and we need talented teammates willing to be a part of a growing and dynamic team of trusted professionals. We are looking for a Data Engineer to join our team and support our customer at Hurlburt Field AFB. Responsibilities - Develop, maintain, and test infrastructures for data generation to transform data from various structured and unstructured data sources.
- Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
- Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
- Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
- Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
- Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
- Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs. Requirements - Minimum of 1 year of experience required.
- Bachelors degree in a STEM field with preference towards Computer Science and Software Engineering.
- Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
- A Certified Data Management Professional certification is preferred.
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