Locals or Nearby Urgent Need Hadoop Data Engineer
Core
Design, develop, and implement robust Big Data solution systems and data pipelines for healthcare analytics, integrating structured and unstructured data from multiple sources.
Role type
Senior Big Data Engineer (Hadoop/Spark)
Builds
Scalable data hub components, automated data pipelines, and enterprise-wide analytics solutions.
Domain
Healthcare Analytics / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Hadoop ecosystem (MapReduce, Yarn, Pig, Hive, HDFS, Oozie), Stream processing (Spark, Storm, Kafka, Avro), NoSQL databases (ElasticSearch, HBase, Cassandra, MongoDB), SQL and RDBMS, Java, Python, Linux systems and shell scripting, Data modeling, Performance tuning and benchmarking
Preferred skills
Cloudera/Horton Works/MapR distribution expertise, ETL solution design, Splunk usage, Healthcare domain knowledge
Technologies
Hadoop, Spark, Kafka, ElasticSearch, HBase, Cassandra, MongoDB, Cloudera, Horton Works, MapR, Splunk, Java, Python, SQL
Responsibilities
Lead implementation teams from concept to completion; Participate in analysis, architecture, and design of data hub; Design and develop code, scripts, and data pipelines; Design and develop automated test cases; Act as delivery liaison with infrastructure and security teams; Drive cross-team design via technical leadership and mentoring; Consult solution architects on enterprise-wide analytics solutions.
Seniority
Senior, hands-on IC with architectural responsibilities
