Job ID: MP-BigData (90090114)WF
Big Data Engineer with Hadoop, MapR, HIVE, Apache Spark, data service design, Data Lake, ETL and Data Warehouse experience
Location: Chandler, AZMinneapolis, MNDes Moines, IACharlotte, NC (remote for now)
Duration: 12 months
Visa: GC/USC preferred; no OPT/CPT/H1
•Candidates should have proper resumes with details in below format:
oFirst Name & Last Name (Proper Legal Name)
oPhone number (No Google Voice/ Magic Jack/ VoIP numbers) Please check where the voice mail lands.
oEmail Address (Proper and domain names used by companies etc.)
oEducation Details in format:
-Bachelors Degree| University Name| College Name| Start MM/YY| End MM/YY
-Masters Degree| University Name| College Name| Start MM/YY| End MM/YY
•LinkedIn should be properly checked.
•Work closely with various team to understand the data requirements
•Analyze incoming data requests for team and determine appropriate target solutions •Develop data service design •Lead the data service build, test and deployment •Partner with Enterprise data teams such as Data Management & Insights and Enterprise Data Environment (Data Lake) and identify the best place to source the data •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
•Work with DBAs in Enterprise Database Management group to troubleshoot problems and optimize performance
•Support ongoing data management efforts for Development, QA and Production environments
•Utilizes a thorough understanding of available technology, tools, and existing designs •Acts as expert technical resource to programming staff in the program development, testing, and implementation process
•Skillset needed: Hadoop, MapR, HIVE, Apache Spark, of application development and implementation experience