Job Description :
Title: Big Data Engineer
Location: McLean, VA
Position::::Contract


Experience in Hadoop, UNIX/Linux, SAS (5+ years), R (5+ years), Python, Spark, PySpark, Scala, XML (5+ years), JSON, Shell Scripting (5+ years), SQL (5+ years), SQL Server, DB2, Oracle, No SQL, Docker, Jenkins, Oozie, Autosys, AWS, Agile, and Jira. Candidates must have 10+ years of IT experience and 5+ in Bigdata technologies.

Ideal candidates(Preferred) would have working knowledge of Hadoop ecosystem, relational data stores, Data Integration techniques, XML, Python, Spark, SAS, R, emerging Big Data tools and technologies, Visualization tools in Big Data, ETL techniques in Hadoop and AWS ecosystem. Projects leverage Agile methodology for enabling new business capabilities

Requirements/Critical Skills (4-6 years working experience):
Able to work efficiently under UNIX/Linux environment • Experience working with in-memory computing using R, Python, Spark, PySpark and Scala. • Experience in parsing and shredding XML and JSON, shell scripting, and SQL • Experience working with SQL (DB2, SQLServer, Sybase, Oracle) and No SQL databases (MongoDB, DynamoDB) • Experience with DevOps, CI/CD implementations of the following technologies: Docker or Jenkins or Test Driven Development patterns • Experience designing and developing data sourcing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching • Knowledge of data, master data and metadata related standards, processes and technology • Experience working with multi-Terabyte data sets (structured, semi/unstructured data) • Knowledge of job scheduling and monitoring tools like Oozie and Autosys

Preferred Skills:
Experience in the Financial, and information management needs are a plus • Experience in Financial Services/Secondary Mortgage industry is a plus • Demonstrated flexibility and adaptability to changes – Agile methodology experience with Jira • Demonstrated ability to manage multiple priorities and deadlines • Ability to work independently or as part of a team • Cloud infrastructure experience working with one or more of the following Amazon Web Services (AWS) Cloud services is a plus: EC2, EMR, ECS, S3, SNS, SQS, Cloud Formation, Cloud watch, Lambda