Closure Technologies
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Closure Technologies. Skills: Data Engineering, Data Pipelines, Big Data, ETL. Design data extraction systems. Implement data extraction systems”
Industry & Context.
Optimize data systems; Develop custom solutions
TS/SCI with Polygraph
What They're Looking For.
Must Have
2+ years software development, Data analysis experience, Parsing experience, Programming language experience, Python experience, Java experience, Significant SQL experience, Significant database experience, Full data lifecycle experience, Big Data environment experience, Java-related technologies experience, JDK experience, J2EE experience, EJB experience, JDBC experience, Spring experience, RESTful APIs experience, Data pipelining systems experience, Apache Airflow experience, ETL tasks experience, Linux environment experience
Nice to Have
Deploying systems leveraging AI/ML, Publishing results in BI dashboards
What You'll Do.
Design data extraction systems
Implement data extraction systems
Optimize data extraction systems
Design data cleansing systems
Implement data cleansing systems
Optimize data cleansing systems
Design data transformation systems
Implement data transformation systems
Optimize data transformation systems
Design data loading systems
Implement data loading systems
Optimize data loading systems
Design data replication systems
Implement data replication systems
Optimize data replication systems
Design data distribution systems
Implement data distribution systems
Optimize data distribution systems
Design large-scale ingest systems
Implement large-scale ingest systems
Optimize large-scale ingest systems
Optimize data lifecycle stages
Develop custom solutions
Develop code to ingest data
Develop code to exploit data
Develop data profiling logic
Develop deduping logic
Develop matching logic
Organize Data Layer documentation
Maintain Data Layer documentation
Develop efficient methods
Articulate constraints
How You'll Work.
Team & Collaboration
Collaborate with teammates; Collaborate with service providers; Collaborate with vendors; Collaborate with users; Work with data scientists
Communication Scope
Articulate risks; Articulate constraints
Full Job Description
Closure Technologies is seeking a Data Engineer that will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data. Clearance Requirement: TS/SCI with Polygraph Key Responsibilities: Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond Developing custom solutions/code to ingest and exploit new and existing data sources Developing data profiling, deduping logic, and matching logic for analysis Organizing and maintaining Data Layer documentation, so others are able to understand and use it. Also, work closely with data scientists to craft data pipelines which serve the development of modern AI/ML workflows Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods Effectively articulating the risks and constraints associated with software solutions, based on environment Required Qualifications: 2+ years of relevant software development/programming experience. Demonstrated data analysis, parsing, and programming language experience (e. g. Python, Java) coupled with significant SQL/database experience. Experience with the full data lifecycle, from ingest through display, in a Big Data environment. Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs. Experience with data pipelining systems (e. g. Apache Airflow) and developing/performing ETL tasks in a Linux environment. Preferred Qualifications: Experience deploying systems that leverage AI/ML technology Experience publishing results in BI dashboards.
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