Job ID:
J36993
Specialized Area:
Hadoop & Big Data
Job Title:
Big Data Analytics Engineer
Location:
Springfield,VA
Duration:
9 Months
Domain Exposure:
Manufacturing, Government, IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities:
Design, implement, or operate comprehensive data to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements
Develop data warehouse data pipelines, including sourcing, loading, transformation, and extraction
Create or implement metadata processes and frameworks
Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing
Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow
Design and implement warehouse database structures
Develop and implement data extraction procedures
Develop or maintain standards for the design of data warehouse elements, such as data architectures, models, tools, and databases
Implement business rules via stored procedures, middleware, or other technologies. Map data between systems. Design and develop data graphs, charts, reports and visualizations.
Position Requirements:
BS in Computer Science or similar field and 10 or more years experience
Deep knowledge of computational complexity theory, with ability to code time- and space-efficient algorithms with good scalability. This skill is required due to the familiarity with computer science fundamentals, algorithms and data structures required to be successful in this role
Experience with Linux and AWS
Ability to understand and mathematically model practical problems
Proficient with scripting, such as Python, Java, C++, or similar
Experience with software integration or testing, including analyzing and implementing test plans and scripts
Experience with virtualized / cloud computing / storage environments
Experience with developing solutions and integrating and extending Open Source Software or COTS products
Strong analytical and problem solving skills
Excellent interpersonal and communications skills necessary to function within a team environment
IAT III 8570 certification
Desired Skills:
Experience with processing large amounts of data in a cloud environment
Solid knowledge in state-of-art algorithms
Experience with building operations research machine learning algorithms, and productionizing them at scale in a distributed computation environment
DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract