Staff, Data Engineer

Job Description

This role will work with a fast-paced team to create the data technology stack that can be used to deliver end-user insights used for developing the next generation of digital products and product strategies. You'll also help build out an internal data pipeline and develop ways to optimize data technologies to shape our digital data strategy.

Your Role Accountabilities:
• Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
• Develop set processes for data modeling, mining, and production.
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software.
• Ensure systems meet business requirements and industry practices regarding data integrity, security, and privacy.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create high-level data flow plans and diagrams to assist in the understanding of systems for cross-functional teams.
• Create high-level data flow plans and diagrams to assist in the understanding of systems for cross-functional teams.
• Collaborate with data scientists and architects on several projects, providing robust and efficient data solutions.
• Mentor junior data engineers and team members on data engineering practices.
• Continuously improve and optimize data reliability and quality.
• Passion to write code which is efficient, organized, simple and scalable meeting business requirements.
• Enthusiasm to learn and finding opportunity to enhance and adopt in the daily engineering activities is highly desired.
• Deliver end-to-end JIRA User stories meeting quality expectations of the team.
• Collaborate closely with internal and matrixed departments, including but not limited to Operations, Technology, PMO, Product Teams and Data Strategy/Insights to design, build, test and deploy data warehouse solutions and reporting tools

Qualifications & Experiences:
• Bachelor's degree in computer science, information systems, or information technology.
• 8+ years of experience in data engineering
• Proven success in a data engineering role managing complex projects.
• Experience with scripting languages: Python, Scala, etc.
• Advanced working SQL knowledge and experience working with database (Snowflake, Databricks)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
• Experience with AWS cloud services – Athena, Quick sight, Kinesis, Lambda, IAM Policies
• Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.)
• Experience with orchestration tools e.g., Airflow, Redwood, Dollar universe
• Experienced with Atlassian Suite (JIRA, Confluence)
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Champions the capabilities and benefits of analytical data assets. Partner effectively across departments and stakeholders

Not Required but preferred experience:
• Public speaking and presentation skills.
• Deep understanding of API connectivity and data streaming architecture

Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Jobcode: Reference SBJ-12v5xm-18-97-14-87-42 in your application.