QinetiQ US
Position Overview
We are recruiting for a Software Developer who will leverage their development skills and experience to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, with a particular focus on Cloud data. Responsibilities
Responsibilities include: Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud environment. Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond. Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution. 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. 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
Required qualifications include: Active TS/SCI clearance with polygraph required Strong software development experience, to include significant Java development, data analysis/parsing, and SQL/database experience. Strong experience with the full data lifecycle, from ingest through display, in a Big Data environment. Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs. Experience developing and performing ETL tasks in Linux and/or Cloud environments. Preferred Qualifications
Preferred qualifications include: Demonstrated experience delivering solutions using Cloud technologies, such as AWS, Microsoft Azure, etc. Experience with Hadoop, Hbase, MapReduce. Experience with Elasticsearch. Experience working in a mission environment and/or with many different types of data. Company EEO Statement
Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
We are recruiting for a Software Developer who will leverage their development skills and experience to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, with a particular focus on Cloud data. Responsibilities
Responsibilities include: Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud environment. Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond. Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution. 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. 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
Required qualifications include: Active TS/SCI clearance with polygraph required Strong software development experience, to include significant Java development, data analysis/parsing, and SQL/database experience. Strong experience with the full data lifecycle, from ingest through display, in a Big Data environment. Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs. Experience developing and performing ETL tasks in Linux and/or Cloud environments. Preferred Qualifications
Preferred qualifications include: Demonstrated experience delivering solutions using Cloud technologies, such as AWS, Microsoft Azure, etc. Experience with Hadoop, Hbase, MapReduce. Experience with Elasticsearch. Experience working in a mission environment and/or with many different types of data. Company EEO Statement
Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.