Data Engineer/BI Engineer

Posted 4 Days Ago
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Hiring Remotely in India
Remote
Mid level
Other
The Role
The Data Engineer/BI Engineer will design ETL/ELT pipelines, manage databases, and create dashboards, contributing to AI-driven data initiatives.
Summary Generated by Built In

Description
About Us

Canibuild automates the residential construction industry’s design, approval, and sales processes, allowing clients to answer 'Can I build this on this plot of land?' instantly. As a fast-growing SaaS platform backed by Australia’s largest hedge fund, we serve clients across Australia, New Zealand, Canada, and the US.

Role 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. The ideal candidate will be responsible for handling end-to-end data workflows, from data extraction and transformation to visualization and insights generation.This role also provides opportunities to upskill and contribute to AI-driven data initiatives, making it an excellent fit for professionals eager to grow in a modern data ecosystem.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Python, Airflow, and SQL in an AWS environment.
  • Manage and optimize data lake and data warehouse solutions on AWS.
  • Develop and maintain data-driven dashboards and reports in Power BI, connecting to SQL Server and PostgreSQL Aurora databases.
  • Extract and integrate data from third-party APIs to populate the data lake.
  • Perform data profiling and source system analysis to ensure data quality and integrity.
  • Collaborate with business stakeholders to capture and understand data requirements.
  • Optimize SQL queries for performance and ensure efficient database operations.
  • Implement best practices for data engineering, visualization, and database management.
  • Participate in architectural decisions and contribute to the continuous improvement of data solutions.
  • Follow agile and lean development practices for efficient project execution.
  • Independently validate and assess the accuracy of data outputs before delivery, ensuring results align with business expectations.
  • Proactively evaluate different technical approaches and suggest alternatives to ensure optimal outcomes within the broader system and business context.
  • Stay updated on the latest AI and data engineering advancements, with opportunities to apply AI-powered solutions.
Requirements
  • 4+ years of experience in data engineering, ETL/ELT pipeline development, and database management.
  • Strong expertise in SQL (T-SQL, MS SQL) with a focus on query optimization and database performance tuning.
  • Proficiency in Python (including data-specific libraries such as Pandas, NumPy, etc.) and Airflow for ETL/ELT processes.
  • Experience extracting and managing data from third-party APIs (REST, JSON).
  • Proven experience in designing and developing data warehouse solutions on AWS.
  • Strong expertise in Power BI for data visualization, dashboard creation, and connecting to SQL Server/PostgreSQL Aurora.
  • Familiarity with agile methodologies and a continuous improvement mindset.
  • Demonstrated ability to think critically and evaluate multiple technical solutions in the broader context of system architecture and business goals.
  • Excellent problem-solving skills and the ability to proactively identify and implement alternative solutions.
  • Strong communication skills and ability to work collaboratively in a team-oriented environment.
  • Willingness to upskill in AI-driven data solutions and contribute to AI-powered applications.

Preferred Qualifications

  • Exposure to AWS cloud data services such as RedShift, Athena, Lambda, Glue, etc.
  • Experience with additional BI tools like Tableau.
  • Knowledge of data lake architectures and best practices.
  • Experience with AI-driven data analytics, or integrating AI models with BI solutions.
Benefits
  • Work with a talented team of data and AI professionals on meaningful, industry-transforming projects.
  • Opportunity to gain hands-on experience with AI technologies and modern data engineering practices.
  • Competitive salary, benefits, and opportunities for growth.
  • A collaborative, fast-paced, and innovative culture that values initiative, ownership, and smart solutions.
  • Flexible remote work opportunities

Top Skills

Airflow
AWS
JSON
Postgres
Power BI
Python
Rest
SQL
T-Sql
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The Company
Barangaroo, New South Wales
84 Employees
On-site Workplace
Year Founded: 2020

What We Do

We are a world-first, venture-backed, award-winning, hyper-growth prop tech that is transforming how construction companies sell homes, pools, granny flats, ADUs, and more

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