Data Engineer, Senior

Key Role:

Design, implement, and manage databases and data delivery systems and transform them into insights, analysis, and reporting. Apply expertise in database design and implementation tools, including entity-relationship data modelling and SQL, distributed computing architectures, operating systems, storage technologies, memory management, and networking to create structure and value out of complex and ambiguous technical challenges with little guidance. Leverage expertise in structured and unstructured data, streaming and batch data processing, extract, transform, and load (ETL), data wrangling, data ingest, and data access.

Basic Qualifications:

-3+ years of experience with coding using one or more of the following: Java, Scala, Python, or R

-Experience with developing and deploying ETL pipelines using Apache Spark

-Experience in interfacing with modern relational databases, including MySQL or PostgreSQL

-Experience in working with Big Data platforms, including Hadoop, AWS, Azure, or DataBricks

-Ability to learn technical concepts quickly and communicate with multiple functional groups

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience with Agile software development

-Experience with NoSQL data stores, including HBase, MongoDB, JanusGraph or Neo4J, and Cassandra

-Experience with ETL tools, including StreamSets, NiFi, and Taland

-Experience in working with enterprise production systems

-Ability to display a positive, can-do attitude to solve the challenges of tomorrow.

-Possession of excellent oral and written communication skills

-BA or BS degree in CS, Information Systems, or a related field preferred; MA or MS degree a plus

-AWS Certification or equivalent

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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