Lead Data Engineer - Remote / Telecommute

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Company: Cynet Systems

Location: Reston, VA 20191

Description:

Job Description:

Essential Functions:
  • 20% Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework.
  • Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
  • 20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs.
  • Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
  • 15% Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise.
  • Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
  • 15% Oversees the delivery of engineering data initiatives and projects.
  • Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities.
  • Creates data collection frameworks for structured and unstructured data.
  • pplies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
  • 15% Enforces the implementation of best practices for data auditing, scalability, reliability and application performance.
  • Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
  • 10% 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.
  • 5% 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.
Education Details:
  • Information Technology or Computer Science or Business Analytics.
Experience:
  • 10 years Experience leading database design and ETL development.
  • Experience in leading data engineering and cross functional teams to implement scalable and fine tuned ETL/ELT solutions (batch and streaming) for optimal performance.
  • Experience developing and updating ETL/ELT scripts. Hands-on experience with Ab Initio ETL development in Hadoop and AWS ecosystem, relational database layout, development, data modeling.
  • In lieu of a Master's degree, an additional 6 years of relevant work experience is required in addition to the required work experience.
Knowledge, Skills and Abilities:
  • Expert in at least one programming language (i.e., SQL, NoSQL, Python)., Expert
  • Knowledge of multiple database technologies - structured and un-structured., Expert
  • bility to quick learn new technology and take direction., Expert
  • Strong customer service orientation., Expert
  • Provide direction to and lead technical teams., Expert
  • Provide direction and lead teams on Big Data and AWS technologies., Expert
  • Requires strong organizational with the ability to handle multiple priorities., Expert
  • Excellent communication skills both written and verbal., Expert
Licenses/Certifications:
  • WS Certified Big Data - Specialty.
  • Cloudera Certified Developer for Apache Hadoop (CCDH).
  • OCP Java SE 6 Programmer Certification.

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