Healthlink Advisors is hiring a
Data Engineer

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Healthlink Advisors

πŸ’΅ ~$41k-$45k
πŸ“Remote - Worldwide

Summary

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects, requiring a Bachelor's Degree, 5 years of experience, strong background in cloud computing, software engineering, and data processing, data management experience, proficiency in ETL Tools, Hadoop-based platforms, RDBMS, Python, SQL, NoSQL, Spark, and strong analytical, communication, programming, project management, independence, adaptability skills. Preferred qualifications include Cloud Certifications in AWS, Azure or GCP.

Requirements

  • Bachelor's Degree
  • 5 years of experience
  • Strong background in cloud computing, software engineering and data processing
  • Data management experience
  • Experience in ETL Tools such as Pentaho, Talend, Informatica, Azure Data Factory, Apache Kafka and Apache Camel
  • Experience designing and implementing analysis solutions on Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or Spark based platforms such as Databricks
  • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc
  • Strong analytical and problem-solving skills
  • Strong verbal and written communication skills
  • Proficient programming skills in Python, SQL NoSQL, and Spark
  • Ability to manage multiple projects essential
  • Ability to work independently or in groups
  • Ability to prioritize time
  • Ability to adapt to a rapidly changing environment

Responsibilities

  • Responsible for design, development and maintenance of data pipelines to enable data analysis and reporting
  • Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data
  • Write complex SQL queries or python code to support analytics needs
  • Manage projects / processes, working independently with limited supervision
  • Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses
  • Combines, optimizes, and manages multiple big data sources
  • Builds data infrastructure and determines proper data formats to ensure data is ready for use

Preferred Qualifications

Cloud Certifications in AWS, Azure or GCP

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