Azure Data Engineer

Overview

Primary Skills :Azure Data Engineer

Must skills for Data Engineer: Azure, Snowflake, data modeling, cicd, airflow

Secondary Skills :Microservices, Springboot, CI/CD, React/Angular, CloudDemand confirmation 100%

5+ Intermediate and Sr10+ years of data engineering experience

● Good understanding of modern data platforms including data lakes and data warehouse,

with good knowledge of the underlying architecture, preferably in Snowflake

● Proven experience in assembling large, complex sets of data that meets non-functional

and functional business requirements

● Experience in identifying, designing, and implementing integration, modelling, and

orchestration of complex Finance data and at the same time look for process

improvements, optimize data delivery and automate manual processes

● Working experience of scripting, data science, and analytics (SQL, Python, PowerShell,

JavaScript)

● Working experience of performance tuning and optimization, bottleneck problems

analysis, and technical troubleshooting in a, sometimes, ambiguous environment

● Experience working with cloud based systems - Azure & Snowflake data warehouses

● Working knowledge of CI/CD

● Working knowledge of building data integrity checks as part of delivery of applications

● Experience working with Kafka technologies

● Design, implement and monitor 'best practices' for Dev framework

● Experience working with large volume data; retail experience strongly desired

Job Type: Contractual / Temporary
Contract length: 12 months

Pay: ₹560,330.55 - ₹2,441,152.15 per year

Schedule:

• Day shift

Experience:

• Data Engineer: 5 years (Required)
• Snowflake and Airflow: 3 years (Required)

Work Location: In person