Lead Developer (dataOps engineer)

● Specialties in Python or Node development for data pipelines and automation, including debugging, testing, and handling development and production code bases

● Building and maintaining an enterprise data lake

● Experience partitioning data for optimal performance

● Distributed systems (pipelines and databases)

● Extensive SQL experience and strong background in optimizing SQL queries for transforming data

● Experience working in a microservices and serverless architecture

● Integrate and improve tools, frameworks, and services to provide requested capabilities

● Operating and maintaining pipelines

● Continued Data Architecture improvements

● Measure and analyze costs, performance, and reliability of pipelines an usage 

● 2 days weekend off

● Competitive Salary

● Health, Medical and Accidental insurance

● Provident Fund and Gratuity

● Lunch, on the house