Senior Data Engineer

4 weeks ago

Toronto ON, Canada Hard Rock Digital Full time

What are we building?Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behaviour, and insight and strive to ensure we’re always acting authentically.Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us?What’s the position?We are looking for a Senior Data Engineer to join our quickly growing data engineering team. As part of the Data Engineering team, you will be a technical contributor on our team supporting cutting edge technology, operations, and business needs. The role requires an individual that's technically talented, able to manage massively distributed datasets, architect and implement big data infrastructure, and is passionate about data and sports.What are we looking for?Design, construct, and maintain robust data pipelines for analytics and business intelligence, using advanced tools like SQL, Python, Snowflake, Airflow, dbt, and BI platforms like PowerBI and Tableau.Skilled in Python and its data libraries (like NumPy, Pyspark, Pandas, and vendors SDKs like Snowflake and Airflow).Analyze vast datasets using SQL, PowerBI, Tableau, Python, or other data analysis tools..Create Data Models and maintain aggregate datasets and analytics views within Snowflake, empowering visualisations and self-service analytics through data modeling and semantic layers in Tableau and PowerBI.Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)Collaborate closely with Data Engineers, Data Scientists, Product Managers, and Business Leaders to deliver insights through datasets, dashboards and visualizations.Qualifications:A Bachelor's, Master's, or higher degree in Computer Science, Engineering, Mathematics, Statistics, Business Analytics, or a related quantitative field.At least 5 years of experience in Business Intelligence and Data Warehousing, with advanced proficiency in SQL, BI tools (PowerBI, Tableau), Snowflake, and scripting languages (Python, Java).Expertise in SQL and/or NoSQL databases (e.g., DynamoDB, Snowflake).What’s in it for you?We offer our employees more than just competitive compensation. Our team benefits include:Competitive pay and benefitsFlexible vacation allowanceStartup culture backed by a secure, global brandRoster of UniquesWe care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)

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