Lead Data Engineer

#spark #azure #python must

Mandatory Skills:

- Overall 6 -13 years of experience as Data Engineer.

- Advanced working SQL knowledge to create complex queries

- Experience in working with Time-series Database, relational databases as well as working familiarity with a variety of databases (structured & Unstructured).

- Hands On experience on visualization tools like Grafana & Power BI.

- Experience in designing and implementing scalable architecture.

- Good experience in doing object-oriented programming in python

- Very strong in Object Oriented Analysis and Design (OOAD)

- Strong knowledge on REST APIs.

- Experience working on Azure Cloud services IaaS, PaaS

- Hands on Experience in working on Microsoft Azure Services like ADLS/Blob Storage solutions, Event Hubs, Service Bus, scale sets, Load Balancers, Azure Functions, Databricks.

- Hands on Experience in working on Kafka.

- Knowledge on continuous integration/continuous deployment.

- Experience of data migration and deployment from On-Premise to Cloud environment and vice-versa.

- Individual Contributor.

Requirements

- Candidates must possess atleast a Engineering/equivalent.

- Atleast 8.00 year(s) of working experience in the related field is required for this position.

- Preferably Middle Level/Management Job role in Lead Data Engineer