AWS Cloud Data Engineer - Contract/ Hybrid/Reston, VA (ONLY From VA, MD & W DC))

Seeking a Lead Level (10+ years) AWS Data Engineer! The selected candidate will be responsible for Designing, Building, deploying, maintaining and scaling cloud OR on-premise data solution and data platform with emphasis on reliability, automation and performance.

This role will focus on leading the development of solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.

ESSENTIAL FUNCTIONS:
- Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration activities. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
- 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.
- 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.
- 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. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.

We are seeking candidates that resides in the Wash DC, Maryland or Virginia metro area for monthly onsite visits in Reston VA, along with a final round F2F interview in Reston VA.

- At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance.
- Experience developing and updating ETL/ELT scripts.
- Hands-on experience with application development (Java), relational database layout, development, data modeling.
- Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services. (at least 3 years)
- ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform
- Expert Knowledge and understanding of SQL
- Strong Java Programming with enterprise scale experience (using Git, Artifactory and other DevOps tools)
- Knowledge and understanding of database design and implementation concepts.
- Knowledge and understanding of data exchange formats and data movement concepts
- Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems.