Data Engineer

📋 Description

• Maintain and assemble data pipelines that consume large datasets, run complex data transformations
• Integrate finished models into pipelines to build insights for customers.
• Use Spark skills to optimize Spark code (including data science models).
• Build required infrastructure for optimal extraction, transformation, and loading of data from
• Write and maintain documentation for features and transition them to L2 support.

🎯 Requirements

• Minimum 5-8 years of experience as a Data Engineer.
• Experience modeling or manipulating large amounts of data.
• Hands-on experience as a data engineer.
• Highly proficient in using the Spark framework (Python and/or Scala).
• Knowledge of Data Warehousing concepts, strategies, methodologies is good to have.
• Programming experience in Python/Scala, SQL.

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)