Engineer, Big Data - Databricks/Python/SQL/Power BI - Remote

Lensa; Jacksonville (FL); Remote; USD 77,000 - 156,000; Full time

Job summary

An established industry player is seeking a Big Data Developer to join their dynamic team. In this role, you will be responsible for designing and implementing scalable data solutions, focusing on performance and reliability. You'll work with cutting-edge technologies like Hadoop and Spark to build robust applications for data analytics. This is an exciting opportunity to contribute to innovative projects while collaborating closely with various teams to optimize data processes. If you're passionate about data and eager to make an impact in the healthcare sector, this position is perfect for you.

Qualifications

• Experience in building stream-processing systems using Kafka, Storm or Spark-Streaming.
• Proven experience with Big Data tools like Spark, Hive, and Impala.

Responsibilities

• Responsible for collecting, storing, processing, and analyzing large sets of data.
• Design and build data solutions with an emphasis on performance and scalability.

Skills

Hadoop

Kafka

Spark

ETL

Java

Python

NoSQL

Data Governance

Education

Bachelor's Degree

Master's Degree

Tools

Spark

HDFS

Talend

Job description

2 days ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Molina Healthcare, is seeking professionals. Apply via Lensa today!

Job Description

Job Summary

Responsible for collecting, storing, processing, and analyzing large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. He/she will also be responsible to follow architecture and best practices used across the enterprise.

Knowledge/Skills/Abilities

• Define ideal Architecture, Evaluating tools and Frameworks, 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
• Working closely with multiple teams and Business partners, for collecting requirement and providing optimal solution
• Proven experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
• Ability to participate in troubleshooting technical issues while engaged with infrastructure and vendor support teams.
  
  

Job Qualifications

Required Education

Bachelor's Degree

Required 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

Experience in the healthcare industry is preferred

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $77,969 - $155,508 / ANNUAL

• Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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