Staff Data Engineer
Hyderabad, Office Level 3 & 4, Block A - East Wing
Warner Bros. Discovery
Warner Bros. Discovery offers exciting and rewarding career opportunities across a multitude of disciplines. Join us as we step into the next chapter.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.
Staff Data Engineer - Hyderabad, India.
About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit www.wbd.com.
Meet our team:
At Max, the Growth Engineering team comprises data engineers, data scientists, ML engineers, and software engineers. Our goal is to boost watch time and increase the number of subscribers. We work on all customer interactions to enhance customer happiness by quickly creating experiments that are enjoyable and that improve our main acquisition and retention metrics.
Roles & Responsibilities:
Mentor and provide technical guidance to junior data engineers in the team.
Contributing back to engineering community by writing/publishing blogs, articles, or papers in respected engineering conferences
- Design and develop the data platform to efficiently and cost effectively address various data needs across the business.
- Build software across our entire cutting-edge data platform, including event driven and batch data processing, storage, and serving through various data integration techniques such as APIs, Lambda, File Feeds etc.
- Think of new ways to help make our data platform more scalable, resilient, and reliable and then work across our team to put your ideas into action.
- Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically.
- Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.
- Ensure data quality by implementing re-usable data quality frameworks.
- Work closely with various other data engineering teams to roll out new capabilities.
- Work closely with AI/ML team to operationalize and utilize models for business needs.
- Develop and enforce data engineering, security, data quality standards through automation.
- Participate in supporting the platform 24X7.
- Be passionate about growing a team - hire and mentor engineers and analyst.
- Be responsible for cloud cost and improving efficiency.
What to Bring:
- Bachelor’s degree in computer science or similar discipline.
- 12+ years of experience in software engineering
- 12+ years of experience in data engineering.
- Ability to work in fast paced, high pressure, agile environment.
- Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.
- Expertise in OLAP databases such as Snowflake or Redshift.
- Expertise in SQL, Spark SQL, Hive etc.
- Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
- Expertise in building micro services and managing containerized deployments, preferably using Kubernetes.
- Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar.
- No-SQL (Apache Cassandra, DynamoDB or similar) is a huge plus.
- Experience with Analytics Tools such as Looker, and Tableau is preferred.
- Cloud (AWS) experience is preferred.
- Ability to learn and teach new languages and frameworks.
- Drive to master emerging technologies and share experiences with team members.
- Ability to understand goals, strategies, and needs of the business as they relate to infrastructure and application development.
- Expert knowledge of best security practices for cloud apps
- Expert with CI/CD pipelines, preferably GitHub Actions Workflows.
- Terraform development experience.
- Proficient with C#, Python/Java.
- Experience working with containerization platforms, such as Docker, EKS.
- Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch.
- Git/GitHub experience
- Go above and beyond attitude with strong interpersonal, communication, organizational, resource management, and presentation skills.
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 the diversity of our society and the world around us. 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 and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Cassandra CI/CD Computer Science Data quality DevOps Docker DynamoDB Elasticsearch Engineering Flink Git GitHub Java Kafka Kinesis Kubernetes Lambda Looker Machine Learning OLAP Pipelines PostgreSQL Pulsar Python Redshift Security Snowflake Spark SQL Streaming Tableau Terraform
Perks/benefits: Career development Conferences Startup environment
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