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Data Engineer

Rabbit mart

Rabbit mart

Software Engineering, Data Science
Posted on Wednesday, May 22, 2024

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).