Manager | Azure Data Engineer

Role Overview

Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage.

What You Will Do

Design, develop and deploy solutions using different tools, design principles and conventions. Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.

Why It Might Be a Fit

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Consultant/Senior Consultant/Manager across our organization must strive to be: Inspiring, Committed to creating purpose, Agile, Skilled at building diverse capability, Persuasive / Influencing, Collaborating, Delivering value, Committed to expanding business, Analytical Acumen, Effective communication, Engagement Management / Delivery Excellence, Managing change, Managing Quality & Risk, Strategic Thinking & Problem Solving, Tech Savvy, Empathetic leadership and inclusivity.

Requirements

• 3-10 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.
• UG: B. Tech /B.E. in Any Specialization.

Tagged as: Change Management, SQL