Remote Otter LogoRemoteOtter

Data Engineer / BI Engineer - Remote

Posted 3 weeks ago
Software Development
Full Time
Worldwide

Overview

We are seeking a highly skilled Data Engineer / BI Engineer with experience in designing ETL/ELT pipelines, managing databases, and developing dashboards using Power BI. This role provides opportunities to upskill and contribute to AI-driven data initiatives.

In Short

  • Design, develop, and maintain ETL/ELT pipelines using Python, Airflow, and SQL.
  • Manage and optimize data lake and data warehouse solutions on AWS.
  • Develop dashboards and reports in Power BI.
  • Extract and integrate data from third-party APIs.
  • Ensure data quality and integrity through profiling and analysis.
  • Collaborate with stakeholders to capture data requirements.
  • Optimize SQL queries for performance.
  • Implement best practices for data engineering.
  • Participate in architectural decisions for data solutions.
  • Stay updated on AI and data engineering advancements.

Requirements

  • 4+ years of experience in data engineering and database management.
  • Strong expertise in SQL and query optimization.
  • Proficiency in Python and Airflow.
  • Experience with third-party API data extraction.
  • Proven experience in AWS data warehouse solutions.
  • Strong expertise in Power BI for data visualization.
  • Familiarity with agile methodologies.
  • Excellent problem-solving skills.
  • Strong communication skills.
  • Willingness to upskill in AI-driven data solutions.

Benefits

  • Work with a talented team on meaningful projects.
  • Gain hands-on experience with AI technologies.
  • Competitive salary and growth opportunities.
  • Collaborative and innovative culture.
  • Flexible remote work opportunities.
canibuild logo

canibuild

Canibuild is a fast-growing SaaS platform that revolutionizes the residential construction industry by automating design, approval, and sales processes. Backed by Australia's largest hedge fund, Canibuild enables clients across Australia, New Zealand, Canada, and the US to quickly determine the feasibility of construction projects on specific plots of land. The company fosters a culture of innovation and collaboration, providing opportunities for professionals to engage in AI-driven data initiatives and modern data engineering practices.

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