Data Intelligence - Lead Data Engineer

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.

Job Title:

Data Intelligence - Lead Data Engineer

Location:

Reston, VA (Remote)

Job Summary:

The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud or on‑premise infrastructure targeting big data and platform data management with emphasis on reliability, automation and performance. This role will focus on leading the development of solutions and helping transform the company’s platforms to deliver data‑driven, meaningful insights and value.

• Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Define and develop the Data Integration best practices for optimal performance and reliability.
• Develop and maintain infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepare and manipulate data using Hadoop or equivalent Map Reduce platform.
• Provide guidance and perform work related to modeling Data Warehouse solutions in the cloud or on‑prem. Understand dimensional modeling, de‑normalised data structures, OLAP, and data‑warehousing concepts.
• Oversee delivery of engineering data initiatives and projects. Support long‑term data initiatives as well as ad‑hoc analysis and ELT/ETL activities. Create data collection frameworks for structured and unstructured data. Apply data extraction, transformation and loading techniques to connect large data sets from a variety of sources.
• Enforce implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques to connect large data sets from a variety of sources.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports. Execute quantitative analyses that translate data into actionable insights. Provide analytical and data‑driven decision‑making support for key projects. Design, manage, and conduct quality control procedures for data sets using data from multiple systems.
• Improve 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.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Knowledge and understanding of at least one programming language (SQL, No
  
  SQL, Python) – Expert.
• Knowledge and understanding of database design and implementation concepts – Expert.
• Knowledge and understanding of data exchange formats – Expert.
• Knowledge and understanding of data movement concepts – Expert.
• Strong technical, analytical and problem‑solving skills to troubleshoot and solve a variety of problems – Expert.
• Strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities – Expert.
• Able to effectively provide direction to and lead technical teams – Expert.

• Bachelor's Degree in Information Technology or Computer Science.

• 8 years’ experience in leading data engineering and cross‑functional team to implement scalable and fine‑tuned ETL/ELT solutions for optimal performance.
• Experience developing and updating ETL/ELT scripts. Hands‑on experience with application development, relational database layout, development, data modeling.

Must have Health Care Domain experience.

• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.