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Senior Data Engineer - C360,
Discovery Channel
posted 1mon ago
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Job 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.
Senior Data Engineer - Hyderabad, India .
About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the worlds 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 Discoverys leading non-fiction and international entertainment and sports businesses.
For more information, please visit www.wbd.com .
Meet our team:
At WBD, the Consumer 360 team is made up of data engineers, software engineers, data scientists, and ML engineers. We ingress, analyze, and organize Big Data about our current and prospective customers how they live, the content they watch, what they prefer, how they act, how they think and we enrich this with vast libraries of available demographic and other information, all to empower more effective, less intrusive, and more targeted advertising, boost engagement, drive new subscriptions, and reduce churn.
Roles Responsibilities:
- 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.
- Develop and maintain data integrations including direct digital marketing, social channels, etc.
- Ingest, process massive campaign datasets to analyze the campaign performance.
- Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
- 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.
- 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.
- Develop and enforce data engineering, security, data quality standards through automation.
- Participate in supporting platform 24X7.
- Be passionate about growing a team - hire and mentor engineers and analysts.
What to Bring:
-
- Bachelor s degree in computer science or similar discipline.
- 5 + years of experience in software engineering
- 5 + years of experience in data engineering.
- Go above and beyond attitude.
- Ability to work in fast paced, high pressure, agile environment.
- Ability and willingness to learn any new technologies and apply them at work to stay ahead of the curve.
- Expertise in at least few programming languages - Python, Scala, G o or similar.
- 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 in operationalizing and scaling machine models is a huge plus.
- Experience with variety of data Tools frameworks (example: Apache Airflow, Druid) will be a huge plus.
- CI/CD Experience with GitHub Actions Jenkins are preferred.
- 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.
- Excellent data analytical skills
- Direct to consumer digital business experience preferred.
- Strong interpersonal, communication and presentation skills.
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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 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.
Employment Type: Full Time, Permanent
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