Data Developer

SpryPoint•Halifax, ON

1d•Remote

About The Position

At SpryPoint, we build innovative web and mobile applications that help utilities modernize the way they serve their communities. As a Data Developer, you’ll play an important role in turning data into meaningful insights by designing, developing, and maintaining reporting and analytics solutions using technologies such as PostgreSQL and Metabase. You’ll work closely with cross-functional teams to understand business and reporting needs, ensure data is accurate and reliable, and build solutions that make it easier for our clients and internal teams to access and use their data. This is an opportunity to combine your technical expertise, analytical thinking, and understanding of data to support better, data-driven decision-making.

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, or a related field
Hands-on experience with relational databases such as PostgreSQL, including database design, query optimization
Proficiency in writing complex SQL queries, stored procedures, and triggers
Experience with data visualization tools like Metabase, Tableau, or Power BI
Strong understanding of database design, data modelling, and ETL processes
Excellent analytical, problem-solving, and communication skills
Ability to work effectively in a collaborative team environment and handle multiple tasks simultaneously

Nice To Haves

Relevant certifications in data management, database administration, or data analytics are a plus
Experience with Python programming language is preferred
Some understanding of API development is considered a bonus

Responsibilities

Design, develop, and optimize data pipelines to support reporting and analytics requirements
Implement and manage reporting solutions using tools like Metabase, ensuring user-friendly dashboards and visualizations
Collaborate with business stakeholders to gather requirements, define KPIs, and deliver actionable insights through reports
Perform data cleansing, transformation, and aggregation to prepare datasets for reporting purposes
Monitor and troubleshoot data pipelines and reporting processes to ensure reliability and performance
Work closely with team members to support data-driven decision-making initiatives
Stay updated with emerging technologies and best practices in data engineering, reporting, and analytics