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

Lensa; City of Yonkers (NY); Remote; USD 77,000 - 156,000; Full time

Job summary

Join a dynamic team focused on innovative data solutions in the healthcare industry. This role involves collecting and analyzing large datasets, implementing scalable business solutions, and ensuring data quality and governance. You will work with cutting-edge Big Data tools and technologies, collaborating closely with business partners to deliver optimal data solutions. If you are passionate about data analytics and want to make a significant impact in a forward-thinking company, this opportunity is perfect for you.

Benefits

Competitive benefits package

Flexible working hours

Remote work opportunities

Professional development programs

Qualifications

• Experience in building stream-processing systems using Kafka or Spark.
• Proven experience with Big Data tools like Spark and Hive.
• Strong experience in database technologies and data governance.

Responsibilities

• Collect, store, and analyze large data sets using optimal solutions.
• Design and build scalable data solutions with high reliability.
• Collaborate with teams to provide optimal data solutions.

Skills

Big Data Tools (Spark, Hive, etc.)

Stream Processing (Kafka, Storm)

Database Technologies

Python Programming

ETL Processes

Web Services APIs (REST/SOAP)

Education

Bachelor's Degree

Master's Degree

Tools

Databricks

Talend

Hadoop

Job description

Molina Healthcare

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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.

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