Hybrid Data Engineer

Posted last month

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About the role

  • Setting up data imports from external data sources (DB, CSV, API)
  • Building highly scalable pipelines to process high-volume data for reporting and analytics consumption
  • Designing data assets that support experimental and organizational processes, and are efficient and easy to work with
  • Close cooperation with engineers, data scientists, product managers, and business teams to make sure data products are aligned with organizational needs

Requirements

  • BS+ in computer science or equivalent experience
  • 3+ years of experience in Data Engineering
  • 3+ years of experience with Python
  • Strong experience with AWS stack: Glue, Athena, EMR Serverless, Kinesis, Redshift, Lambda, Step Functions, SQS/SNS
  • Experience with Spark, PySpark, Iceberg, Delta lake, Aurora DB, DynamoDB
  • Nice-to-haves: Data modeling and managing data transformation jobs with high volume and timing requirements experience
  • AWS CodePipeline, Beanstalk, Azure DevOps, Cloud Formation
  • Profound skill to collaborate with cross functional teams, including communicating effectively with people of varying levels of technical knowledge
  • Readiness to learn new technologies

Benefits

  • Paid training programs and English/Spanish language courses
  • Medical insurance, sports program compensation, pet care and other benefits compensation program, which can be selected by each employee according to personal preferences
  • Comfortable working hours
  • Awesome team events and a wide variety of knowledge sharing opportunities

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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