Data Engineer

Full Time
Hybrid

Job Description

Responsibilities:

  • Design and implement ETL processes to consolidate data from multiple sources.
  • Build and maintain automated data pipelines that refresh the warehouse regularly.
  • Ensure data quality through validation checks, monitoring, and troubleshooting.
  • Document data sources, transformation rules, and maintain clear data dictionaries.
  • Collaborate with business teams to translate reporting requirements into technical data structures.
  • Support Data Analysts by structuring data for dashboards and reports.

Requirements

Requirements:

  • Bachelor’s degree in computer science, Information Systems, or related field.
  • 2-3 years of experience with SQL and database management.
  • Experience with ETL tools and data pipeline development.
  • Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
  • Basic programming skills in Python or similar languages.
  • Understanding of data modeling concepts and best practices.

Preferred Skills:

  • Experience with data quality frameworks and testing.
  • Knowledge of version control (Git).
  • Exposure to analytics platforms like Amplitude or Google Analytics.
  • Understanding of event tracking and instrumentation 

What We Offer

  • Competitive salary
  • Health insurance
  • Flexible working hours
  • Professional development
  • Team events
  • Modern equipment

Apply Now

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Need more information about this role or our application process? Contact our HR team – we're excited to hear from you!