Senior Software Development Engineer III

Job Number: R10008182
Brand: Hotstar
Job Type: Engineering
Location: Mumbai, Maharashtra, India
Job Posting Date: July 10, 2019
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OVERVIEW OF THE COMPANY

Hotstar

Hotstar is one of the fastest growing video-on-demand services. Scratch that. We’re Hotstar. The go-to destination for over 100mn active users who seek anything from award-winning English shows and movies to regional content to live sports. Our mission is to revolutionize internet entertainment through smart personalization, and by building a global video platform - talk about taking over the world wide web and the whole wide world. We believe there are only two ways to realize our goals – by daring or daring more. (Yeah, that was just for impact.) Feeling gutsy? Join us. :)

JOB DESCRIPTION

Your Key Responsibilities

  • You 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 Bring

  • BE/B.Tech/BS/MS/PhD in Computer Science or a related field (ideal)
  • Minimum 4 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

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, 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.

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