Big Data Engineer
HireOne IT Recruitment
Athens, Greece
πριν από 5 μέρες
source : Just Join IT

Big Data (advanced)

Are you curious what product has saved Americans $30 billion on healthcare since 2011?

Sounds pretty good, doesn't it?

Or would you like to become part of the team that is constantly improving and developing this tool?

Nothing easier - apply, let's talk!

Responsibilities :

  • Collaborate with product managers, data scientists, data analysts, and engineers to define requirements and data specifications.
  • Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, and EMR.
  • Develop, deploy and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3, and Glue.
  • Define and manage the overall schedule and availability for a variety of data sets.
  • Work closely with other engineers to enhance infrastructure, and improve reliability and efficiency.
  • Make smart engineering and product decisions based on data analysis and collaboration.
  • Act as in house data expert and make recommendations regarding standards for code quality and timeliness.
  • Architect cloud-based data infrastructure solutions to meet stakeholder needs.
  • Skills & Qualifications :

  • Bachelor’s degree in analytics, statistics, engineering, math, economics, science, or related discipline,
  • Professional experience in the big data space ,
  • Experience in engineering data pipelines using big data technologies ( Spark, etc...) on large-scale data sets,
  • Expert knowledge in writing complex SQL and ETL development with experience processing extremely large datasets,
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions,
  • Deep familiarity with AWS Services (S3, Event Bridge, Glue, EMR, Redshift, Lambda) ,
  • Ability to quickly learn complex domains and new technologies.
  • Salary : 35.000 PLN / NET / B2B,

    Work 100 % remotely,



    20 days off fully paid.

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