Job Location: Charlotte, NC
No CPT/OPT/H1B
12+ Month Contract (W2 ONLY)
Charlotte, NC – Hybrid Schedule
Client: Financial Domain
Job Summary
- Design high performing data models on big-data architecture as data services.
- Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark and Amazon S3 based object storage architecture.
- Work with business analysts, development teams and project managers for requirements and business rules.
- Collaborate with source system and approved provisioning point (APP) teams, Architects, Data Analysts and Modelers to build scalable and performant data solutions.
- Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
- Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure.
- Support ongoing data management efforts for Development, QA and Production environments
Required Experience:
- 10+ years of application development and implementation experience
- 10+ years of experience delivering complex enterprise-wide information technology solutions
- Experience in Hadoop ecosystem tools for real-time batch data ingestion, processing and provisioning such as Apache Flume, Apache Kafka, Apache Sqoop, Apache Flink, Apache Spark or Apache Storm
- 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop 5+ years of Java or Python experience
- 10+ years of ETL (Extract, Transform, Load) Programming experience
- 10+ years of reporting experience, analytics experience or a combination of both 5+ years of Hadoop experience 5+ years of operational risk, conduct risk or compliance domain experience
- Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects
- Knowledge and understanding of DevOps principles Ability to interact effectively and confidently with senior management
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