Sri Lanka
1 month ago

Job Overview

Job Type
Full Time
Pay
Not disclosed

Job description

Location:
Sri Lanka
Work arrangement:
On-site

Role Summary

About the Client

Our client is a globally recognized professional services and technology consulting organization, delivering innovative solutions in digital transformation, cloud, data, artificial intelligence, cybersecurity, and business operations. With a strong presence across multiple industries, the company is known for its collaborative work culture, cutting-edge technologies, and commitment to developing talent while helping organizations solve complex business challenges.

We are looking for a Data Engineer to design, develop, and maintain scalable data solutions and pipelines that support enterprise-level analytics and business operations. The ideal candidate will work with cloud technologies, modern data platforms, and cross-functional teams to deliver reliable and high-quality data engineering solutions.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and data processing solutions.
  • Build and optimize ETL/ELT workflows using cloud-based data engineering tools.
  • Process and integrate data from multiple source systems into enterprise data platforms.
  • Ensure high-quality, reliable, and efficient data solutions by following software engineering best practices.
  • Collaborate with cross-functional teams in an Agile environment to deliver data projects.
  • Support CI/CD processes, DevOps practices, and post-deployment monitoring.
  • Troubleshoot and optimize data workflows for performance and scalability.

Requirements

  • Bachelor's Degree in Computer Science, Information Technology, or a related field.
  • 1–2 years of experience in data engineering or enterprise data processing.
  • Strong programming skills in Python, SQL, and Shell scripting.
  • Experience with ETL/ELT tools and cloud platforms such as Google Cloud Platform (GCP) or AWS.
  • Knowledge of relational and NoSQL databases, data warehousing, and distributed data processing.
  • Familiarity with CI/CD tools, Git, Agile methodologies, and DevOps practices.
  • Strong analytical, problem-solving, and communication skills with a passion for data engineering.
  • Interested candidates may send their CV to

About the Company

Our client is a well-established Australian accounting and advisory firm providing bookkeeping, payroll, taxation, compliance, and business support services to a diverse portfolio of clients across Australia. The firm is recognized for its strong client relationships, operational efficiency, and collaborative work culture focused on delivering high-quality professional services.

Role:
Data Engineer
Job Type:
Full Time

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