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Interview: Phone and F2F

SBP/FEPOC


Description:
Key's to the position are Scala, Python, Map R language.

Requirements:
  • Lead implementation teams from concept to completion by leveraging the best practices of Big Data
  • Participate in the analysis, architecture and design of data hub
  • Builds robust Big Data solution systems with an eye on the long term maintenance and support of the Application
  • Work as part of a team to design and develop code, scripts, and data pipelines that leverage structured and unstructured data integrated from multiple sources
  • Looks to leverage reusable code modules to solve problems across the team, including Data Preparation and Transformation and Data export and synchronization
  • Design and develop automated test cases that verify solution feasibility and interoperability, to include performance assessments
  • Act as a Big Data delivery liaison with Infrastructure, security, application development and testing team.
  • Helps drive cross team design / development via technical leadership / mentoring
  • Keep current on latest Big Data technologies and products, including hands-on evaluations and in-depth research
  • Consult and advise solution architects on overall enterprise-wide analytics solutions that include a Data Hub Component
  • Works with Project Manager to perform detailed planning, risks/issues escalation.
Qualifications
  • Requirements for Big Data Engineer, Healthcare Analytics Senior:
  • 4+ years of experience working with batch-processing and tools in the Hadoop tech stack (e.g., MapReduce, Yarn, Pig, Hive, HDFS, Oozie)*
  • 4+ years of experience working with tools in the stream-processing tech stack (e.g., Spark, Storm, Samza, Kafka, Avro)* Experience developing applications that work with NoSQL stores (e.g., ElasticSearch, Hbase, Cassandra, MongoDB, CouchDB)* Experience developing for TB-level data stores and/or 10Gbps+ ingest speeds
  • High-capacity data ingest into Hadoop or Spark is highly desired
  • Hands-on experience with at least one major Hadoop Distribution such as Cloudera or Horton Works or MapR or IBM Big Insights
  • System usage and optimization tools such as Splunk is a plus
  • At least 4 years of experience delivering enterprise IT solutions as a solutions architect
  • 8+ years of experience with SQL and at least two major RDBMS's
  • 5+ years as a systems integrator with Linux systems and shell scripting
  • 8+ years of doing Data related benchmarking, performance analysis and tuning
  • 5+ years of Java experience
  • Solid programming experience with a preference towards Java or Python
  • DBA and/or Data Modeling experience
  • Experience with operational and business-level metadata management
  • Bachelor's degree in Computer Science, Information Systems, Information Technology or related field and 6+ years of software development/DW & BI experience.
  • Health care experience is plus
  • Excellent verbal and written communication skills
Nice to Have:
  • Hands-on experience with Cloudera 4.5 and higher, Horton Works 2.1 and higher or MapR 4.01 and higher
  • Experience with Map/Reduce solution design and development
  • ETL Solution experience, preferable on Hadoop
  • Experience with industry leading Business Intelligence tools

Last updated on Dec 23, 2016

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