Big Data Engineer

An Ideal Candidate:

The ideal candidates should have 3-8 Years of hands-on experience Implementing Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios. Experience developing Azure Data Factory (covering Azure Functions, LogicApps, Triggers, IR), Databricks (pySpark, Scala), Stream Analytics, Event Hub & HD Insight Components. Experience in working on data lake & DW solutions on Azure. Experience managing Azure DevOps pipelines (CI/CD)

Experience managing source data access security, using Vault, configuring authentication and authorization, enforcing data policies and standards.

Key Competencies:

1.Design, develop and deploy solutions using different tools, design principles and conventions.

2.Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.

3.Understand existing processes and facilitate change requirements as part of a structured change control process.

4.Solve day to day issues arising while running robotics processes and provide timely resolutions.

5.Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.

6.Coordinate with process owners and business to understand the as-is process and design the automation process flow.