Senior Data Intelligence Engineer.

Ampcus Inc.•Reston, VA

6h•Onsite

About The Position

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. This role will focus on developing solutions and help transform the company's platforms to deliver data-driven, meaningful insights and value to company.

Requirements

Bachelor's Degree in Computer Science, Information Technology or Engineering or related field
5 years’ Experience with database design and modeling.
Experience developing and updating ETL/ELT scripts using Ab Initio in AWS.
Hands-on experience with ETL application development, relational database/ No SQL, development.
Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time.
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.

Nice To Haves

Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python).
Knowledge and understanding of database design and implementation concepts.
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.
Strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities.
In lieu of a bachelor’s degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Responsibilities

Develop and maintain 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.
Develop 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 recovery.
Creates data collection frameworks for structured and unstructured data.
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.
Apply 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.