Warner Bros. Discovery

Description : Welcome to Warner Bros. Discovery the stuff dreams are made of.Who We Are :When we say, the stuff dreams are made of, were not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.Behind WBDs vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating whats next.From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.Here you are supported, here you are celebrated, here you can thrive.Your New Role : 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.Youll also help build out an internal data pipeline and develop ways to optimize data technologies to shape our digital data strategy.Your Role Accountabilities : - Gain an understanding of brand and enterprise data warehouse/reporting requirements that will inform the data architecture and modeling approach.- Employ these learnings to construct appropriate ETL processes, database queries, and data/permission models that support data aggregation and reporting on actionable insights.- 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.- Debug, troubleshoot, design, and implement solutions to complex technical issues.- Deliver end-to-end JIRA User stories meeting quality expectations of the team.- Familiarity with BI Tools and able to create semantic layer models for the business users.- Participate in QA testing for data pipeline projects as well as implementation changes to the suite of analytical tools.- Monitor batch data loads to meet SLAs.- Should be able to quickly respond and resolve production issues.- Ability to thrive in a team-based environment and Flexibility to work in second shift.Qualifications & Experiences : - 5-9 years of experience in data engineering.- Bachelor's degree in computer science, information systems, or information technology.- Experience with programming languages SQL, Python, AWS Glue.- Strong experience with MPP databases (Databricks or Snowflake).- Experience with Snow pipe, tasks, streams, clustering, Time travel, Cache, data sharing.- Experience in Conceptual/Logical/Physical Data Modelling & expertise in Relational and Dimensional Data Modelling.- Experience with AWS cloud services Kinesis, Lambda, IAM Policies.- Experience in SQL query tuning and cost optimization.- Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.- Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc.- Must be comfortable working in a Linux/Unix environment.- Familiarity with ASW Developer tools services like Code Deploy, Data Pipeline.- Experience with public/private API integration, web scrapping, data streaming architecture.- Knowledge on Business content interchange (BCI).Not Required but preferred experience : - Public speaking and presentation skills.- Experience with DBT.How We Get Things Done : This last bit is probably the most important Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. (ref:hirist.tech)