Senior Engineer, Big Data
Molina Healthcare•Long Beach, CA
About The Position
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
Requirements
- Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
- Bachelor's Degree
- 5-7 years of data management experience.
- Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.
- Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
- Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.).
- Experience building solutions with NoSQL databases, such as HBase, Memsql.
- Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance.
- Experience with programming language such as, Java/Scala/Python, etc.
- Experience implementing Web application and Web Services APIs (REST/SOAP).
Nice To Haves
- Master's Degree
- 7-10 years of data management experience.
- Experience in the healthcare industry is preferred.
Responsibilities
- Convert concepts to technical architecture, design and implementation
- Provide guidance on choosing ideal Architecture, Evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
- Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
- Design and build data solutions with an emphasis on performance, scalability, and high-reliability
- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
- Build data model for analytics and application layers
- Contribute to leading and building a team of top-performing data technology professionals
- Help with project planning and scheduling
- Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams.
Benefits
- competitive benefits and compensation package
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
