Senior Data Engineer

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Datatonic

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Artificial Intelligence • eCommerce • Telecommunications

Datatonic is your go-to AI partner that addresses complex business challenges through advanced cloud data and AI consultancy. They offer a range of services including generative AI applications for various industries such as Retail, Telecommunications, Gaming, and Financial Services. With a focus on data-driven decision-making and analytics, Datatonic empowers businesses to optimize their operations and enhance customer engagement across multiple sectors.

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🛍️ eCommerce

📡 Telecommunications

💰 Pre Seed Round on 2013-01

📋 Description

• Foundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients. • Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud. • Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications. • Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including: • - Transforming, testing, deploying, and documenting data. • - Understanding data modeling techniques. • - Optimising and storing data for warehouse technologies. • Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance. • Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers. • Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts. • Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.

🎯 Requirements

• Experience: 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer). • Technical Expertise: Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling. • Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL. • Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions. • High-Quality Code Standards: Ability to write tested, resilient, and well-documented code. • Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus). • Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion. • Project Management: Natural ability to manage multiple initiatives and clients simultaneously. • SQL Proficiency: Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL. • Business Translation: Experience in translating business requirements into technical solutions. • Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences. • Leadership: Experience in providing technical guidance and direction on projects. • Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability, and performance.

🏖️ Benefits

• 20 days of paid vacation per calendar year • Public Holidays for your Province of Residence • 5 Wellness days (sickness, personal time, mental health) • 5 Lifestyle days (religious events, volunteer day, sick day) • Matching Group Retirement Savings Plan after 3 months • Competitive Group Insurance plan on Day 1 - individual premium paid 100%! • Virtual Medicine and Family Assistance Program - 100% employer-paid! • Home office budget - We are 100% remote! • CAD $70/month for internet/phone expenses • CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1 • Company-supplied MacBook Pro or Air • CAD $400/year for books, relevant app subscriptions or an e-reader. • Opportunities for paid certifications • Opportunities for professional and personal learning through Google and other training programs • Regular company off-sites and meetups