Disney Media & Entertainment Distribution (DMED) brings together the Company?s best-in-class product, technology, and commercialization teams together into one global organization. DMED is responsible for the P&L management and all distribution, network and engineering operations, sales, advertising, data, and certain key technology functions worldwide for the Company?s content engines. DMED also manages operations of the Company?s streaming services including Disney+, Hulu, ESPN+ and Disney+ Hotstar; and domestic broadcast and cable television networks.
Disney+ Hotstar is leading the way as the largest and smartest video platform in the country, reaching over 300 million users today. We have set a number of world records along the way – including for the highest concurrent viewership at 25.3 million during the ICC Cricket World Cup 2019. Disney+ Hotstar today is the one-stop destination for all your entertainment needs – from Live Sports, Indian and International Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, National Geographic and Disney+ Originals. We?re looking for the brightest minds to build the future of TV with us.
About the Team
As a Data Engineer in the Data Infrastructure team, you will build platforms and tools that churn through, process & analyze petabytes of data and lead a robust team. You will work on technologies such as Apache Kafka, Apache Spark, Aerospike, Redshift to build a scalable infrastructure that delivers recommendations to our users in real-time.
The pace of our growth is incredible ??if you want to tackle hard and interesting problems at scale, and create an impact within an entrepreneurial environment, join us!Your Key ResponsibilitiesYou will work closely with Software Engineers & ML engineers to build data infrastructure that fuels the needs of multiple teams, systems and products
You will automate manual processes, optimize data-delivery and build the infrastructure required for optimal extraction, transformation and loading of data required for a wide variety of use-cases using SQL/Spark
You will build stream processing pipelines and tools to support a vast variety of analytics and audit use-cases
You will continuously evaluate relevant technologies, influence and drive architecture and design discussions
You will work in cross-functional team and collaborate with peers during entire SDLC
What to BringBE/B.Tech/BS/MS/PhD in Computer Science or a related field (ideal)
5 -10 years of work experience building data warehouse and BI systems
Strong Java skills
Experience in either Go or Python (plus to have)
Experience in Apache Spark, Hadoop, Redshift, Athena
Strong understanding of database and storage fundamentals
Experience with the AWS stack
Ability to create data-flow design and write complex SQL / Spark based transformations
Experience working on real time streaming data pipelines using Spark Streaming or Storm
Our Values– Audacity- Self-Awareness- Ownership- Bias for Action- Collaboration- Radical Candour- Inclusivity- Mentorship
The Perks– The glory. Almost too much responsibility. – No dress code. Unlimited leave. – A fun-life balance. – A ticket on our rocket ship to the moon. ??
Who we are as an employerWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Who we are as a company We?re Disney+ Hotstar. The go-to destination for over 300 million users for everything from Live Sports, Indian and International Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, National Geographic and Disney+ originals. Our mission is to revolutionize internet entertainment through smart personalization, and by building a global video platform that takes over the world wide web and the whole wide world.
To learn more about our team, check out the following blogs : https://tech.hotstar.com/