Data Engineer

Data Engineer

We are looking for new team members as we continue to grow. What can you expect when you join? You can look forward to a culture of learning and empowerment, where you come first, where you are free to express your ideas, and where there is equality and inclusion. Everything we do is with authenticity and passion and our culture and values define what we do. If your aspirations are the same we look forward to welcoming you to the Rayn family.

Our Mission

Building for billions, one idea at a time.

Our People

We believe in our people & are invested in giving them an employee experience at par with global best practices. They come first & are our true assets. Our goal is to create a fair, open culture where everyone can bring their best selves to work in a safe space. All our policies are built on the guiding principles of trust & are an essential part of our culture at Rayn.

What you will bring to Rayn as a Data Engineer
  • Developing new data platform services and optimizing existing ones.

  • Documenting and providing training for relevant platform services.

  • Owning and managing day-to-day operations for components you own.

  • Translating business / technical requirements into implementable chunks.

  • Supporting other team members.

Your qualifications
  • Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related technical discipline.

  • You have experience in programming and general application development.

  • You are a hands-on professional with experience in cloud computing architecture.

  • You have experience in processing Big Data.

  • 4 to 5 years of relevant experience.

  • Experience working with AWS data tech stack e.g, S3, RDS, Dynamodb, Glue, EMR etc.

  • Experience with Apache Spark, Hadoop, Hive, Presto and Kafka.

  • Relational, NoSQL and SQL databases including MongoDb and Postgres.

  • Knowledge and experience working with docker containers, container management e.g., Kubernetes.

  • Columnar Stores such as AWS Redshift.

  • Object function/object-oriented scripting languages including Scala, C++, Java and Python.

  • Understanding and experience of DevOps tools and processes.

  • Have worked in agile software development teams.

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