Senior Platform Engineer- Azure, ML

Digital Engineering is a cross-functional team involved in all phases of our application and service release lifecycle that embrace and promote the DevOps & SRE methodologies. Platform Engineers are partly responsible for design, implementation, and ongoing support of the production services, applications and platform components that comprise our backends. In this role you will have the opportunity to leverage your technical skills in systems management, software development and database skills, to promote best-practice and support the broader organization by implementing the guide-rails to operate safely, by building maturity and forging greater adoption and higher maturity for Agile delivery

Skills for Azure -ML role

Must have Skills

1. Good proficiency in Python programming

2. Good command over Scientific and Data Processing Python libraries such as NumPy, Pandas, Matplotlib

3. Good command over SQL

4. Good Software Engineering skills Data Structures, Algorithms, Design Patterns

5. Exposure to Cloud Computing (Azure/ AWS / GCP)

Nice to have skills

1. Work experience in big data processing libraries and services such as Spark, Hive, HBase, DataBricks, Azure Synapse, Azure Data Fatory, AWS Gluon

2. Knowledge or Machine Learning / Deep Learning algorithms and libraries

3. Familiarity with DevOps tools and technologies

4. Familiarity with NoSQL databases such as MongoDB, Azure Cosmos DB

5. Knowledge of Docker, Kubernetes - managing, automating, and scaling containerized application

Skills : Python,Panda,Cloud,Python programming,Data Processing,Python libraries,NumPy,Pandas,Matplotlib,Data Structures,Algorithms,Design Patterns,Azure,AWS,GCP,DevOps,Spark,HBase,DataBricks,Hive,Azure Synapse,Azure Data Factory,AWS Gluon,NoSQL,MongoDB,Azure Cosmos DB,Docker,Kubernetes,MLOps