Azure Data Engineer + Devops - 5+ years - Bangalore/Hyderabad/Chennai

Location: Hyderabad
Discipline: Data Engineering
Job type: Permanent
Contact name: Aayushi Grover

Contact email:
Job ref: 40967
Published: 3 days ago

Urgent hiring for an Azure Data Engineer profile with a minimum of 4 years of experience in total. An incumbent with Azure Cloud, Machine Learning, and DevOps experience will be a right fit.

Location - Bangalore/Hyderabad/Chennai


Your future employer- A global leader in AI and analytics, dedicated to helping Fortune 1000 companies tackle their most challenging problems.


Roles & Responsibilities-


● Driving the development and adoption of Tiger’s ML platform accelerator solutions

● Leading cross-functional technical teams across deep learning, machine learning, distributed systems, program management, app engineering, and product teams while working on all aspects of design, development, and delivery of machine learning-enabled end-to-end pipelines and solutions.

● Designing and architect services and pipelines to support the full Machine learning Lifecycle right from Development to Deployment

● Building scalable microservices architectures that can handle high volume data requests and high concurrency



● 6 - 10 years’ experience server-side/back-end full cycle product development in a production environment in Python

● 4 Experience in , Data Science ,Statistics, Data Mining, hypothesis validation and design of Algorithms with Strong Exposure to modern ML stack Scikit Learn, NLP, SparkML, Pytorch Etc.)

● 3 years of quality experience in Spark programming and Delta Architecture, distributed data processing. Exposure to Databricks or any managed Spark Runtime on Cloud Dataproc / EMR .

● 3 years of Experience managing production deployments in any major cloud platform - Azure/Google/AWS or on Databricks is required.

● 3 years of core experience as a Lead engineer in Machine learning enabled product platform in a Backend Role.

● Strong understanding of MLOPS related concepts, Model deployment as Batch, Real time on modern cloud stack

Reach us- If this role excites you, feel free to reach me at

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Note- We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you dont hear back from us in 1 week. Your patience is highly appreciated.


Profile Keywords - Data Engineer, Azure, Azure Data Engineer, Machine Learning, Devops, ML, MLOps