Senior Data Engineer

Job Description

You will be a member of the data management and platform development team. You will work in a collaborative, agile environment using the latest in engineering best practices with involvement in all aspects of the software development lifecycle. You will be responsible for designing & developing curated data products, applying standard architectural practices. You will primarily develop on Google Cloud Platform and associated technologies such as Big Query, Airflow, Python, SQL, Spark/PySpark, Linux, Docker, Kubernetes.

How you'll CREATE:
• Develop and maintain databases, datasets, pipelines for UMG's Customer Data Platform (CDP) to enable enterprise reporting, advanced segmentation, targeting, automation and analytics.
• Gather and understand data requirements, build complex data pipelines to achieve high quality data ingestion goals.
• Build ETL processes and the create applications to integrate REST API's. Enable inclusion of streaming data into environments such as Big Query.
• Build and Deploy Data Pipelines on Google Cloud to enable AI & ML capabilities.
• Drive the development of cloud-based data warehouses & business intelligence platforms.
• Design and creation of data led strategies which provide businesses with opportunities to leverage their data for greater insight or performance.
• Proactively suggest, plan, and integrate new tools and methods to improve productivity, efficiency and reduce costs

Bring your VIBE:
• Bachelor's Degree or equivalent experience in Computer Science or related field
• 8+ years' experience as a data warehouse engineer/architect designing and deploying data systems in a startup environment
• Proficiency in database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized data marts
• Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
• Expertise in designing data warehouses using Google Big Query
• Experience developing data pipelines in Python
• Firm believer of data driven decision making, and extensive experience developing for high/elastic scalable, 24x7x365 high availability digital marketing or ecommerce systems
• Hands-on experience with data compute, storage, and security components and using Cloud Platform (preferably GCP (Google Cloud Platform)) provided Big Data technologies
• Hands-on experience with real time streaming processing as well as high volume batch processing, and skilled in Advanced SQL, GCP Big Query, Apache Kafka, Data-Lakes, etc.
• Hands-on Experience in Big Data technologies - Hadoop, Hive and Spark, and in an enterprise-scale Customer Data Platform (CDP)
• Experience in at least one programming language (Python strongly preferred), cloud computing platforms (e.g., GCP), big data tools such as Spark/PySpark, columnar datastores (Big Query preferred), DevOps processes/tooling (CI/CD, GitHub Actions), infrastructure as code frameworks (Terraform), BI Tools (e.g., DOMO, Tableau, Looker), pipeline orchestration (e.g., Airflow)
• Fluency in data science/machine learning basics (model types, data prep, training process, etc.)
• Experience using version control systems (Git strongly preferred)
• Experience with data governance and data security
• Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment

Perks Playlist:
• Be part of an entrepreneurial, global organization that values authenticity, drive, creativity, relationships, and a competitive spirit
• Comprehensive medical, dental, vision, and FSA options, as well as:
• 100% coverage for out-patient mental health services
• Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
• A lifetime fertility support allowance of $30,000 to plan participants
• Student Loan Repayment Assistance and Tuition Reimbursement
• 100% immediately vested 401(k) match on the first 5% of your contribution on eligible compensation
• Variety of ways to prioritize much-needed time away from work including:
• Flexible Paid Time Off (PTO) for exempt employees
• 3-weeks PTO for non-exempt employees
• 2-weeks paid Winter Break
• 10 Paid Holidays (including Juneteenth and Wellbeing Day)
• Summer Fridays (between Memorial Day and Labor Day)
• Generous paid parental leave for every type of parent

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.

Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer.

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Job Category:
Data, Analytics & Business Intelligence

Jobcode: Reference SBJ-d8pvqk-18-216-130-198-42 in your application.