Cloud Data Engineer Job in Ideas2it

Cloud Data Engineer

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Job Summary

What s in it for you?

  • An opportunity to upskill cutting-edge Big Data Engineering tools like Hadoop, Spark, Python, Scala, AWS/Redshift, Azure, Apache Spark, Hive, MongoDB, SQL, and NoSQL.
  • Build truly cloud-native applications on AWS, Azure, Google, etc.
  • You will have the backing of peers who are very talented and will team with you to push the horizons to new frontiers.
  • Your time here will be full of opportunities to upskill on the latest technologies/tech stacks. And even make open-source contributions and be celebrated for it!
  • You will earn above-industry standard compensation, work on great innovation-led projects for marquee clients like Facebook, Microsoft, Siemens, Roche, and Medtronic.
  • You will experience a great work culture that nurtures both creativity and growth.
  • You work in a financially-stable company and yet enjoy all the thrills of working in a startup, minus any of the risks.

What you will be doing here

  • Write high-quality, scalable, fault-tolerant code to develop and maintain data pipelines (both real-time and batch).
  • Maintain various data stores and distributed systems, and help optimize data structures for efficient querying of those systems.
  • Collaborate with Data Scientists to implement Machine Learning algorithms.
  • Devise strategies for data migration activities (migrating data from a legacy system to cloud-based data warehouses like Amazon Redshift and Snowflake).
  • Construct data orchestration to foster the streaming data using Streaming Technology and build real-time dashboards.
  • Build serverless, scalable, and cost-efficient applications for visualizing the data.

What could make you a great candidate for this position

Mandatory Requirements

  • A background in Frontend, Backend, or Full Stack Development.

Good to Haves

  • Good knowledge of Java.
Experience Required :

Minimum 3 Years

Vacancy :

2 - 4 Hires

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