Job Description

Description:
This role is within a Big 4 consulting firm that helps clients build trust and reinvent so they can turn complexity into competitive advantage. This is a global firm with more than 370,000 people in 149 countries working across audit and assurance, tax and legal, deals and consulting and helping clients build, accelerate and sustain momentum.
Location: Singapore
How will you value-add?

• Design, develop, and maintain robust ETL/ELT pipelines using tools like Azure Data Factory, Azure Data Bricks and MS Fabric.

• Build and optimize Data Architectures (Data lakes, Data warehouses) on Azure Data Services, Azure SQL PaaS and Power BI

• Collaborate with data analysts, and business stakeholders to understand data requirements.

• Ensure data quality, integrity, and security across all data systems along with authentication and authorizations for Database.

• Monitor and troubleshoot data pipeline performance and reliability.

• Implement best practices for data governance, metadata management, and documentation.

• Memory management for database systems.

• Develop database schemas, tables and dictionaries.

• Ensure the data quality and integrity in databases and fix any issues related to database performance and provide corrective measures.

• Work with structured and unstructured data from various sources (APIs, databases, flat files, etc.).

• Perform regular Audit checks

About you:

• Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field.

• Good to have Azure Data Engineer certificate

• 2-3 years of experience in Data Engineering or related roles.

• Proficiency in MS SQL T-SQL and programming languages such as Python or C# .Net.

• Experience with data pipeline orchestration tool Azure Data Factory or Azure Data Bricks.

• Familiarity with cloud data platforms MS Fabric.

• Strong understanding of data modeling and warehousing concepts

Skills Required