Computer Scientist - Data Engineering

Adobe
Experience : 2 to 3 Years
Education : MS, BE/B.Tech
Location : Noida
Job Role : Engineer
Posted on 10 Oct 19
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Job DescriptionLast Date 09 Dec 19
Computer Scientist - Data Engineering

Location: Noida

What you’ll do:
  • Designing, develop & tune data products, applications and integrations on large scale data platforms (Hadoop, Kafka Streaming, Hana, SQL server etc) with an emphasis on performance, reliability and scalability and most of all quality.
  • Analyze the business needs, profile large data sets and build custom data models and applications to drive the Adobe business decision making and customers experience
  • Develop and extend design patterns, processes, standards, frameworks and reusable components for various data engineering functions/areas.
  • Collaborate with key stakeholders including business team, engineering leads, architects, BSA's & program managers.

The ideal candidate will have:
  • MS in Computer Science / related technical field or BS with 2+ years of experience in enterprise data warehousing / big data implementations.
  • Strong SQL, ETL, scripting and or programming skills with a preference towards Python, Java, Scala, shell scripting
  • Demonstrated ability to clearly form and communicate ideas to both technical and non-technical audiences.
  • Strong problem-solving skills with an ability to isolate, deconstruct and resolve complex data / engineering challenges
  • Results driven with attention to detail, strong sense of ownership, and a commitment to fun, team and innovation!

Nice to have:
  • Familiarity with streaming applications
  • Experience in development methodologies like Agile / Scrum
Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
Adobe is changing the world through digital experiences. We give everyone - from emerging artists to global brands - everything they need to design and deliver exceptional digital experiences.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, ethnicity, sexual orientation, gender identity or expression, disability or veteran status.
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