
Data Engineering Lead
8 hours ago
Welcome to Warner Bros. Discovery, a global leader in entertainment and media. Our company is built on a foundation of creativity, innovation, and collaboration.
We are seeking a highly skilled Principal Data Engineer to join our Data & Shared Services organization. This role will be responsible for leading the engineering and development of complex data management systems that combine core data sources into data warehouses, cloud data lakes, data science platforms, or other accessible structures.
The ideal candidate will have strong analytical skills, a passion for data, and experience with relational databases, data warehouses, and SQL. They will also be able to drive project delivery within established timeframes, scope while delivering business value, and plan for and manage future requirements.
Key Responsibilities:
- Lead the development of complex data management systems that combine core data sources into data warehouses, cloud data lakes, data science platforms, or other accessible structures.
- Analyze business processes to create requirements, specifications, and system solution designs in partnership with engineering team members.
- Develop and enforce best practices for data management, adhering to architectural standards, security, and compliance.
- Recommends and implements data reliability, efficiency, and quality improvements.
- Build data pipelines: create, maintain, and optimize workloads from development to production for specific use cases.
- Enthusiasm to learn and find opportunities to enhance and adapt in daily engineering activities is highly desired.
Requirements:
- Bachelor's degree in science, statistics, engineering, business administration, or similar field of study.
- 14+ years of experience building and scaling data platforms.
- Knowledge of supporting data sets for Home Entertainment, Games DVD/Digital business, Content sales and Licensing.
- Knowledge of SAP supply chain, APO, Order management, Trade spends, promotions, POS, Royalty, Forecasting and cash collections.
- Expert in one or modern data replication and data integration tools (for example Informatica, Attunity, AWS DMS, etc.).
- Expert in one or more modern data lake and data warehouse tools (for example Teradata, Redshift, Snowflake, etc.).
- Expert in one or more modern advanced analytics tools (for example Spark, Data Bricks, Python, AWS Glue, etc.).
- Experience in one or more automation and scheduling tools (for example Redwood, Airflow, etc.).
- Experience with Atlassian Suite (JIRA, Confluence).
- Experience with Excel spreadsheets, modeling, and reporting.
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