Description

Years of experience: 8 to 12 years relevant experience

Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments

Hands on experience with:

Spark for data processing (batch and/or real-time)

Configuring Delta Lake on Azure Databricks

Languages: SQL, pyspark, python

Cloud platforms: Azure

Azure Data Factory (must) , Azure Data Lake (must), Azure SQL DB (must), Synapse (must), SQL Pools (must), Databricks (must)

Designing data solutions in Azure incl. data distributions and partitions, scalability, cost-management, disaster recovery and high availability

Azure Devops (or similar tools) for source control & building CI/CD pipelines

Experience designing and implementing large-scale distributed systems

Customer management and front-ending and ability to lead large organizations through influence

Desirable Criteria :

Strong customer management- own the delivery for Data track with customer stakeholders

Continuous learning and improvement attitude

Key Skills

Education

Bachelor's degree