Senior Engineer, Big Data

Molina Healthcare

Long Beach, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 172K

Job location

Long Beach, United States of America

Tech stack

Java

API

Application Layers

Big Data

Cloudera Impala

Databases

Data Validation

Data Governance

Data Infrastructure

Data Integration

ETL

Data Systems

Data Warehousing

Hadoop

Hadoop Distributed File System

HBase

Hive

Python

Kerberos (Protocol)

Meta-Data Management

NoSQL

Cloudera

Simple Object Access Protocol (SOAP)

Data Streaming

Talend

Unstructured Data

Web Applications

Web Services

Apache Zookeeper

Enterprise Software Applications

Apache Yarn

Cloudera Manager

Spark

Build Management

Sentry

Data Analytics

Real Time Data

Kafka

Spark Streaming

Data Management

Presto

Stream Processing

MemSQL

Ambari

Programming Languages

Job description

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.

Knowledge/Skills/Abilities

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
Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
Ability to participate and lead, in solving technical issues while engaged with infrastructure and vendor support teams.

Requirements

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).

Preferred Education

Master's Degree

Preferred Experience