Cloud Data Engineer Job in Ideas2it
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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