Senior Software Development Engineer - Data Platform | Remote, Disney+ Hotstar

March 27

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Disney+ Hotstar logo

Disney+ Hotstar

Disney+ Hotstar is leading the way as the largest and smartest video platform in the country, reaching over 300 million users today$1. .$1

Video on Demand • Live Streaming • Entertainment • Technology • Social Gaming

501 - 1000

Description

•You will combine your knowledge of Data Platform technologies with your product sense to solve high scale, high impact and Data relevant use-cases for other product and engineering teams at Hotstar. •You will work closely with Software Engineers & ML engineers to build Data platform abstractions that fuel the needs of multiple teams, systems and products. •You will 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 new and relevant technologies and initiate adoption of new best practices. •You will influence and drive architecture and design discussions in the Data Platform team. •You will work in a cross-functional team and collaborate with peers during the entire software development life cycle with a strong focus on continuous delivery You will act as a technical mentor and guide for junior team members, fostering a collaborative and growth-oriented work environment. •Ability to support hyper growth systems across multiple geographies and regions

Requirements

•In-depth understanding and experience in working with high scale Data lakehouse systems. •Hands-on experience in Big Data technologies like Apache Spark, SQL, Hadoop, Hive, Airflow, Kafka and Kafka connects. •Hands-on experience with AWS stack: S3, EMR, RDS etc. •Strong programming skills in 1 or more of the following languages: Java, Scala, Go, PythonStrong understanding of Database and Data storage fundamentalsStrong understanding of Data storage formats like Parquet, Hudi, Delta etc. •Excellent teamwork and communication skills, with the ability to work effectively in a fast-paced, agile environment. •Good to have experience in real-time streaming data pipelines using Spark Streaming or Flink. •Familiarity with Data lakehouse solutions like Databricks.

Benefits

• Influence and drive architecture and design discussions in the Data Platform team. • Act as a technical mentor and guide for junior team members, fostering a collaborative and growth-oriented work environment.

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