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Data Engineer with Production Support

Location : Remote
Job Type : Direct

Job Description :
Required Qualifications :

Data Engineer with Production Support

100% Remote

Full Time Position

$110K + Benefits


Details of the role:


  • DataOps Services and Development, Production support tasks. And experience with Managed Services experience.

  • Data Engineering support.

  • Someone who can handle to operations and support experience, someone who has worked on the ticketing systems.

  • Someone who can handles the offshore team

  • Focus on AWS Stack, Understands the CI/CD,

  • Python Scala & Java application support experience is needed so some basic Java Development experience.


Key responsibilities:

  • Overview of Position
    Build and maintain our Data Solutions platforms and data assets.

  • Strengthen and maintain the monitoring and management of the build and deployment processes and infrastructure.

  • Collaborate with internal stakeholders to resolve issues, support automation workflow, and provide workflow enhancements.

  • Create metrics and reports to measure, maintain and monitor data quality for critical data assets.

  • Provide on-going maintenance, support, and enhancement in existing systems and platforms.

  • Participate in design and implementation of the data model and related ETL pipeline.

  • Work cross-functionally with our product, business, and operation teams.

  • Identify process improvement opportunities, openly communicate, and collaborate to enhance team capabilities.

Required Skills: 

  • Bachelor's degree (or Master) in Computer Engineering, Computer Science, Data Science or Information System, etc.

  • 8+ years of development/engineering experience.

  • Expertise in relational and NoSQL data platforms, AWS RDS, AWS Redshift.

  • Deep understanding of RDBMS and data warehouse

  • Expert in developing complex SQL query with multiple table joins, subqueries, set operations etc.

  • Expert in shell scripting.

  • Good understanding of Java 1.8+ programming

  • Working experience on AWS (S3, Lambda, EMR, EC2, Dynamo DB, Glue, Data pipeline, Redshift, CloudFormation, Athena, AWS SFTP).

  • Working experience on Docker (Installation, developing and maintenance of docker tasks)

  • Experience with Git and Jira

  • Strong debugging and problem-solving skills.

  • Strong team player with excellent verbal and written communication skills

  • Can communicate complex ideas clearly.

  • Basic understanding of healthcare concepts and HIPPA standards.

Good to have skills:

  • Experience with HIPAA compliance and the security of PHI data is a plus.

  • High-level languages such as Python, and Scala, hands-on experience building data pipeline at scale.

  • Can continually and independently research and evaluate emerging technologies.

  • Capability of business-critical thinking.

  • Passions on working with data.

  • Innovative, willing to do things differently.

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