Senior Data Engineer
Posted on: May 9, 2022
The Senior Data Engineer is responsible for orchestrating,
deploying, maintaining and scaling cloud OR on-premise
infrastructure targeting big data and platform data management
(Relational and NoSQL, distributed and converged) with emphasis on
reliability, automation and performance. This role will focus on
developing solutions and helping transform the company's platforms
deliver data-driven, meaningful insights and value to company.
Develops and maintains infrastructure systems (e.g., data
warehouses, data lakes) including data access APIs. Prepares and
manipulates data using multiple technologies.
Interprets data, analyzes results using statistical techniques, and
provides ongoing reports. Executes quantitative analyses that
translate data into actionable insights. Provides analytical and
data-driven decision-making support for key projects. Designs,
manages, and conducts quality control procedures for data sets
using data from multiple systems.
Develops data models by studying existing data warehouse
architecture; evaluating alternative logical data models including
planning and execution tables; applying metadata and modeling
standards, guidelines, conventions, and procedures; planning data
classes and sub-classes, indexes, directories, repositories,
messages, sharing, replication, back-up, retention, and
Creates data collection frameworks for structured and unstructured
Improves data delivery engineering job knowledge by attending
educational workshops; reviewing professional publications;
establishing personal networks; benchmarking state-of-the-art
practices; participating in professional societies.
Applies data extraction, transformation and loading techniques in
order to connect large data sets from a variety of sources.
Applies and implements best practices for data auditing,
scalability, reliability and application performance.
Individual Contributor - Position does not have direct reports but
is expected to assist in guiding and mentoring less experienced
staff. May lead a team of matrixed resources.
Education Level:Bachelor's Degree inComputer Science, Information
Technology or Engineering or related field ORIn lieu of a
Bachelor's degree, an additional 4 years of relevant work
experience is required in addition to the required work
Experience:5 years Experience with database design and developing
modeling tools. Experience developing and updating ETL/ELT scripts.
Hands-on experience with application development, relational
database layout, development, data modeling.
Knowledge, Skills and Abilities (KSAs)
Knowledge and understanding of at least one programming language
(i.e., SQL, NoSQL, Python).
Knowledge and understanding of database design and implementation
Knowledge and understanding of data exchange formats.
Knowledge and understanding of data movement concepts.
Strong technical and analytical and problem solving skills to
troubleshoot to solve a variety of problems.
Requires strong organizational and communication skills, written
and verbal, with the ability to handle multiple priorities.
Must be able to meet established deadlines and handle multiple
customer service demands from internal and external customers,
within set expectations for service excellence. Must be able to
effectively communicate and provide positive customer service to
every internal and external customer, including customers who may
be demanding or otherwise challenging.
Keywords: Talteam, Reston , Senior Data Engineer, Engineering , Reston, Virginia
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