Data Engineer

We’re seeking a talented and experienced Data Engineer to join our team. In this full-time role, you’ll play a crucial role in designing, building, and maintaining the data infrastructure that underpins our market intelligence efforts.
You’ll be responsible for:

  • Data Pipeline Architect: Design, develop, test, and maintain robust data pipelines that seamlessly transfer and transform data, ensuring smooth information flow.
  • Data Quality Champion: Implement and enforce data quality standards to guarantee the accuracy and consistency of our data sets. This includes data cleaning, validation, and monitoring processes.
  • Data Acquisition Specialist: Facilitate the acquisition of external data sources, expanding our knowledge base and enriching our market intelligence capabilities.
  • ETL & Data Analysis Guru: Provide expert support to internal stakeholders and customers on ad-hoc ETL (Extract, Transform, Load) and data analysis requests, empowering them with the information they need. This includes responding to ad-hoc reporting and analytics tasks for higher management.
  • Data Warehouse Collaborator: Assist in the design and implementation of a comprehensive data warehouse to house and manage market intelligence data effectively.
  • Data Wrangler Extraordinaire: Assemble and structure complex datasets to perfectly align with both functional and non-functional business requirements.
  • Dashboard Whisperer (Optional): Leverage your knowledge of dashboarding tools to create insightful and user-friendly visualizations of market intelligence data (a plus!).

What We’re Looking For:

  • Bachelor of Science in Computer Science, Engineering, or a demonstrably equivalent background.
  • 3-5 years of experience in data engineering, preferably in a cloud environment.
  • Strong foundation in SQL and database management (experience with PL/SQL is a plus).
  • Proficiency in Python for data analysis and modeling.
  • Solid understanding of data management concepts including data modeling, database design, tuning, and optimization.
  • Excellent communication skills, both written and verbal.
  • A keen analytical mind with the ability to meticulously handle and interpret large datasets.
  • Familiarity with data warehouse (OLAP) concepts is a plus.

Bonus Points:

  • Knowledge of cloud data warehouse solutions (GCP or AWS).
  • Experience with Hadoop technologies (Apache Spark, Hive).

Apply Now!

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Rabbit is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.