Title : Hadoop Data Engineer
Location : Ashburn, VA
Duration : 12 months plus
To support the Information System Division and the enterprise by providing comprehensive data engineering solutions in translating vision and strategies into effective IT and business capabilities through the design, implementation, and integration of IT systems in the big data domain.
The Data Engineer will be responsible for guiding the evolution, development, and governance of Data with a specific focus on Hadoop Data solutions.
Required (Individual Role):
Extensive experience in engineering and designing data management solutions using Hadoop ecosystem tools and technologies with particular emphasis in using Sqoop, Spark, Scala, Python, Java, Shell HIVE and IMPALA for minimum of three (3) years.
1. Proficient in the data ingestion pipeline process, exception handling and metadata management on big data platforms
2. Extensive experience in architecting, and designing data architecture solutions using Hadoop ecosystem tools and technologies like, Hive, Impala, HBase, and Solr
3. Extensive experience in GitHub CI/CD
4. Experience providing technical and data leadership to the application development terms, IT and the enterprise.
5. Experience in designing shared data assets such as data discovery and analytics platforms, metadata, operational data stores, data warehouses and data marts
6. Experience in business intelligence disciplines, and a deep understanding of Data Warehousing BI, and advanced analytics concepts in large organizations
Desired (Individual Role):
1. Advanced degree in MIS, computer science, statistics, marketing, management, finance or related field
2. Experience with Data Governance and Data Pipeline Management
3. Prior experience in the Financial Industries and large banks
Job Types: Full-time, Contract
Contract Length:
Contract Renewal: