Data Analytics/BI Engineer (5+ yrs Snowflake, Looker, SQL exp. req.)

twiceasnice Recruiting; None; In loco; CAD 130.000 - 165.000; Tempo pieno

Descrizione del lavoro

An innovative SaaS company is seeking a Data Platform Engineer to join their remote team. In this role, you will design and optimize robust analytics systems and data architectures, leveraging your expertise in Python and SQL. You will build and manage data warehouse solutions, automate ETL/ELT workflows, and create dashboards using visualization tools. This position offers an exciting opportunity to shape a modern BI infrastructure within a growing subscription management platform, working alongside a talented team. If you're passionate about data and eager to make a significant impact, this role is perfect for you.

Competenze

• 5+ years of experience in Python and SQL development for data analytics.
• Proficiency in data warehouse platforms and ETL/ELT automation.

Mansioni

• Architect scalable data pipelines and analytics systems.
• Design and optimize SQL queries for large datasets.
• Automate ETL/ELT workflows using Python.

Conoscenze

Python

SQL

Data Architecture

ETL/ELT Pipelines

Data Analytics

BI/Visualization Tools

SaaS Products

Strumenti

Snowflake

Redshift

Descrizione del lavoro

Data Platform Engineer (5+ yrs Python, SQL, SaaS exp. req.)
Location: must reside in Canada
Salary: $130,000 - $165,000 CAD
Job Type: Full-Time | Remote
Typical Hours: Monday-Friday; ~45 hours/week
Start Date: ASAP
Sponsorship is not available

Description

Our client, a growing SaaS company, is looking for a Data Platform Engineer to join their remote team from Canada. You’ll design, develop and optimize robust analytics systems and data architectures. This role requires deep expertise in creating complex SQL queries, leveraging modern data warehouse platforms (Snowflake or similar) and developing analytics and reporting systems from the ground up. Proficiency in Python and strong architectural capabilities to design scalable and high-performance systems are essential. This is an ideal role for someone who thrives in both development and architecture and is eager to define the future of analytics platforms. Reporting to the CTO, you’ll work hands-on as an individual contributor with opportunities for growth as the company continues to scale, and work cross-functionally with engineering, product, and leadership. This is a unique opportunity to shape a modern BI infrastructure for a growing subscription management SaaS platform at the intersection of finance and technology, surrounded by a team who has taken similar widely used products to market.

Responsibilities

1. Architect scalable data pipelines and analytics systems
2. Design and optimize SQL queries for large datasets
3. Build and manage data warehouse solutions like Snowflake or Redshift
4. Automate ETL/ELT workflows using Python
5. Integrate data from multiple sources for consistent analytics
6. Create dashboards using visualization tools
7. Optimize system performance for reliability and speed
8. Collaborate with stakeholders on reporting needs and architecture
9. Document system design, data flows, and integration points

Qualifications

1. 5+ years of Python in data analytics development and architecture experience required
2. 5+ years of SQL development with complex joins and large data sets required
3. 5+ years of data warehouse platforms (Snowflake or similar) experience required
4. 5+ years of building ETL/ELT pipelines experience required
5. 5+ years of BI/visualization tools experience required
6. Experience with SaaS products required