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Data Engineer - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Data Engineer - D01 Cecil, Marina, People’s Park, Raffles Place, SG

PRICEWATERHOUSECOOPERS GHRS PTE LTDD01 Cecil, Marina, People’s Park, Raffles Place, SG
20 days ago
Job description

Roles & Responsibilities

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

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

    • Tell employers what skills you have

    Factory

    Azure

    Data Modeling

    Pipelines

    T-SQL

    Data Quality

    Data Governance

    Reliability

    Data Engineering

    SQL

    Python

    Metadata

    C#

    Orchestration

    Power BI

    Databases

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    Data Engineer • D01 Cecil, Marina, People’s Park, Raffles Place, SG