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Data/ETL Engineer in Washington, DC at Booz Allen Hamilton Inc.

Date Posted: 3/13/2019

Job Snapshot

Job Description

Job Number: R0049169

Data/ETL Engineer

Key Role:

Design, implement, and manage databases and data delivery systems and transform them into beautiful insights, analysis, and reporting. Leverage knowledge of 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 with structured and unstructured data, streaming and batch data processing, ETL, data wrangling, data ingest, and data access.

Basic Qualifications: 

-3+ years of experience in data integration or data management work
-Experience in working with industry standard ETL tools, including Informatica, SSIS, Talend, or Pentaho
-Experience with manipulating, processing, and extracting large disconnected datasets
-Experience with Hadoop ecosystem and big data processing
-Experience with Python scripting and data cleansing
-Experience in working with a variety of SQL or NoSQL databases
-Experience with advanced SQL query and tuning capabilities
-BA or BS degree

Additional Qualifications:

-Experience with open source data ingestion tools, including Nifi and Spark a plus

-Experience in supporting and working with cross-functional teams in a dynamic environment

-Ability to work independently and address ad-hoc challenges

-Possession of excellent project management, organizational, and problem-solving skills

-Ability to obtain a security clearance

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