Spark Backend Data Engineer – AI/ML US Startup

This is an early tech team with <20 team members offering tremendous growth opportunities.

You will get an opportunity to apply your big data skills in real world. Are you the one who believes in large scale and large dreams? We are looking for passionate early stage backend developers who are interested to make a difference.

We are a fast-growing business analytics start-up company out of USA. Our mission is to automate analytics using AI driven insights. Powered by powerful Machine learning algorithms, our analytics solution provides business users with hidden insights in vast amounts of data across multiple sources, and provides business users with intelligent suggestions/recommendations using Google like search interface.

Experience

2-4 Years of Experience

Qualification

  • Minimum 2 years of big data development experience utilising Hadoop/Spark
  • Minimum 1 year of Scala and Spark experience
  • Extensive experience using Scala / Java
  • Experience in working with web development using J2EE or similar frameworks
  • Experience in developing REST API’s
  • Experience with Docker
  • Experience with kubernetes is a plus
  • Experience with Akka is a plus

Big goals, challenging work, fast learning cycles and the opportunity to join “ a stellar team and build a world class product.”.

Responsibilities

• Develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.

• Design and develop software applications in Spark and Scala. Understand business requirements and convert them to technical solutions

• API Design and Integration

• An interest and preferably working experience in agile development methodologies

• A team player, eager to invest in personal and team growth

If you are the type of person that likes to solve hard problems with meaningful impact, we’d love to hear from you. Write to deepa.m@careerxperts.com to get started!

Job Location

Bengaluru

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