Junior Data Engineer

Singapore - Marina One

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PwC

We unite expertise and tech so you can outthink, outpace and outperform​.

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Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Associate

Job Description & Summary

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 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Ansible (Open-Source Tool for Software Provisioning, Configuring, and Deployment), AWS CloudFormation, Azure DevOps Server, Cloud Infrastructure, Communication, Continuous Deployment, Continuous Integration (CI), CrowdStrike, Cybersecurity, Deployment Management, Dynatrace APM, Emotional Regulation, Empathy, GitHub (Version Control Platform), GitLab (DevOps Tool), Google Cloud Platform, Incident Remediation, Inclusion, Infrastructure as a Service (IaaS), Intellectual Curiosity, Jenkins (Software), Jira Software {+ 21 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Ansible APIs Architecture AWS Azure CloudFormation Computer Science Consulting Databricks Data governance Data quality DevOps ELT Engineering ETL GCP GitHub GitLab Google Cloud Jenkins Jira MS SQL Open Source Pipelines Power BI Python Security SQL T-SQL Unstructured data

Region: Asia/Pacific
Country: Singapore

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