Sr. Data Engineer at Warner Bros. Entertainment Inc.

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, AWS Glue, Databricks, Snowflake, Data Modelling, AWS Cloud Services, SQL Query Tuning, Continuous Integration, Automation Tools, Linux/Unix, API Integration, Web Scraping, Data Streaming, Business Content Interchange

Industry

Entertainment Providers

Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s 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 what’s 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. 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: 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 SLA’s. 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. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. 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.

Responsibilities

The role involves creating a data technology stack for delivering end-user insights and building an internal data pipeline. Responsibilities include constructing ETL processes, debugging technical issues, and participating in QA testing for data pipeline projects.