Senior Data Engineer Job in Cloudcover
Senior Data Engineer
Cloudcover
4+ weeks ago
- Pune, Pune Division, Maharashtra
- Not Disclosed
- Full-time
Job Summary
What you will do
- You'll design and develop scalable, reliable, secure and fault tolerant data systems and work on improving to deliver next gen systems
- You ll work 100% in the public cloud (AWS, GCP, Azure)
- You'll build readable, concise, reusable, extensible code that avoids re-inventing solutions to problems that you solved
- You will be migrating massive datasets from high-growth startups from one cloud to another or on-prem to cloud
- You'll be part of discovery sessions with clients and will build state of the art data architectures
- You ll research new technologies and tools that enable building the next generation systems
- You ll use the knowledge you ve learned from client projects to develop and improve our internal products.
The Role
- At least 5 years of experience as a Data Engineer or Software engineer
- Strong coding skills in one of the following: Python, Java or Scala
- Experience with Spark or Beam
- Experience with SQL databases as well as NoSQL data stores
- Experience in SQL with an in-depth understanding of query optimization. You should also understand DDL very well.
- Excellent understanding of building data models for the target data warehouse
- Hands-on experience in any of the cloud platforms and having a thorough understanding of the cloud concepts are required.
- Experience with any orchestration tool - Airflow, Kubeflow, Oozie, Luigi, Azkaban, Step Functions...
- Any big data or data engineering certification on any of the clouds
- Must have an inherent talent of understanding data and its interpretation for end business users
- Ability to drive initiatives and work independently
- Good communication skills to be able to express one s point to client concisely
Nice-To-Have
- Experience building large-scale, high throughput, 24x7 data systems
- Exposure to machine learning algorithms with implementation in practice
- Experience with legacy big data systems (ex: Hadoop)


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