Data Engineer

Toronto, Ontario

Warner Music Group

Music with Vision and Voice. WMG is a global music entertainment company across recorded music, music publishing, and artist services.

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At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter. 
Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality. 
About the jobAs a Data Engineer you will be a key contributor to the design, development, and maintenance of our data platform.  You will work closely with data scientists, analysts, and engineers across the organization to ensure data reliability, quality, and accessibility.  
Responsibilities-Design, develop, and maintain robust and scalable data pipelines using Python, SQL and other native AWS data services-Build and optimize ETL processes for data ingestion, transformation, and loading-Implement and maintain data quality checks and monitoring systems-Collaborate with data scientists and analysts to understand their data needs and provide solutions-Work with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Databricks, Redshift - specify if you use one)-Implement and maintain data governance and security best practices-Contribute to the evolution of our data platform by researching and evaluating new technologies-Participate in code reviews and contribute to the team's best practices-Troubleshoot and resolve data-related issues
About you-You have a Bachelor's degree in Computer Science, Engineering, or a related field-You have 4+ years of experience in a data engineering or related role-You are proficient in Python and SQL-You have experience with ETL processes and tools-You have experience with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift)-You have experience with data pipeline orchestration tools (e.g., Airflow, Prefect, dbt)-Strong understanding of data modeling, data profiling concepts and best practices-Strong understanding of data quality and testing methodologies-Excellent communication and collaboration skills-Experience with relevant technologies (e.g., Spark, Hadoop, Kafka, NoSQL databases)-You are familiar with modern software development practices (Agile, CICD) as applied to data engineering-Experience working with offshore teams is a plusAbout us: As the home to 300 Elektra, Asylum, Atlantic, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through  a catalogue of more than one million copyrights worldwide. We’re the home to WMX – the next generation services division that connects artists with fans and amplifies brands in creative, immersive, and engaging ways – and Alternative Distribution Alliance (ADA) – the ground-breaking global distribution company for independent artists and labels. Together, we are Warner Music Group: Music With Vision & Voice. 
WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.
Copyright © 2023 Warner Music Inc.
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Category: Engineering Jobs

Tags: Agile Airflow AWS BigQuery Computer Science Databricks Data governance Data pipelines Data quality Data Warehousing dbt Engineering ETL Hadoop Kafka NoSQL Pipelines Python Redshift Security Snowflake Spark SQL Testing

Region: North America
Country: Canada

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