Data Analytics Engineer

at  Hard Rock Digital

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, behavior, 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 seeking a talented Data Analytics Engineer to join our growing data team. As a Data Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights that drive business decisions. You’ll work closely with data scientists, business analysts, and stakeholders to design and implement data models, create efficient ETL processes, and develop insightful dashboards and reports. This role requires a blend of technical skills, business acumen, and a passion for turning data into valuable information.

BASIC QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
• 3+ years of experience in data analytics, business intelligence, or a similar role
• Strong proficiency in SQL and Python programming
• Hands-on experience with Snowflake, including data modeling and query optimization
• Experience with dbt (data build tool) for data transformation and modeling
• Familiarity with Apache Airflow for workflow orchestration
• Proficiency in creating and maintaining ETL/ELT processes
• Experience with data visualization tools (e.g., Tableau, Power BI) and creating dashboards
• Understanding of data warehousing concepts and dimensional modeling techniques
• Basic knowledge of version control systems (e.g., Git)
• Experience working in a cloud environment, preferably AWS

PREFERRED QUALIFICATIONS:

• Master’s degree in a relevant field
• 5+ years of experience in data analytics or business intelligence roles
• Knowledge of machine learning algorithms and their applications in business
• Familiarity with agile methodologies and data-driven decision making
• Experience in the gaming or sports betting industry
• Relevant certifications (e.g., AWS Certified Data Analytics, Snowflake SnowPro)

Please refer the Job description for details