Cloud Data Engineer: Pipelines, Warehousing & Analytics

Evolution Recruitment Solutions Pte Ltd

Singapore

On-site

SGD 90,000 - 150,000

Full time

6 days ago
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Job summary

Evolution Recruitment Solutions Pte Ltd is seeking a Data Engineer to design and implement scalable data pipelines and analytics solutions for business reporting. You will work with SQL, Python and modern cloud-native tools to deliver reliable data models and dashboards.

You will own the data warehouse design, build dimensional models, and orchestrate workflows with Airflow, dbt and related technologies, while adhering to CI/CD and data quality best practices.

Qualifications

  • 3–6 years of experience in Data Engineering, Analytics Engineering, Data Warehousing or related fields.
  • Strong hands‑on experience with SQL.
  • Good working knowledge of Python for data processing and automation.
  • Strong understanding and practical experience with dimensional data modelling, including:
  • Star schemas
  • Fact and Dimension tables
  • Data marts
  • Hands‑on experience with dbt or an equivalent data transformation framework.
  • Experience with at least one workflow orchestration tool, such as Apache Airflow or equivalent.
  • Good understanding of semantic layers, business metrics and reusable business logic.
  • Strong understanding of ETL/ELT and data warehouse concepts.
  • Knowledge of modern software development practices, including:
  • Git/version control
  • Code reviews
  • Unit and data testing
  • CI/CD
  • Ability to troubleshoot data and pipeline issues independently.
  • Good communication and collaboration skills.
  • Experience with Google Cloud Platform (GCP) is preferred.
  • Exposure to BigQuery, Cloud Composer, Cloud Storage and other GCP data services is an advantage.
  • Ability to understand existing .NET business logic and support the conversion or redesign of processes using suitable cloud‑native technologies is preferred.
  • Familiarity with BI and reporting tools and an understanding of how analytical datasets are consumed by business users is an advantage.

Responsibilities

  • Develop and modernize data and analytics solutions for reporting and analytics needs.
  • Build and maintain reliable data pipelines and transformations using SQL, Python.
  • Design star schemas, fact and dimension tables, and data marts.
  • Implement ETL/ELT processes and data warehouse solutions.
  • Apply CI/CD, code reviews, and testing to data solutions.
  • Collaborate with engineers, analysts, and stakeholders to meet requirements.
  • Migrate or redesign existing processes using cloud-native tech.
  • Support the development of analytical datasets consumed by BI and business users.

Skills

SQL
Python
Dimensional modelling
Star schemas
Fact tables
Dimension tables
Data marts
dbt
Airflow
Semantic layers
ETL/ELT
Git/version control
Code reviews
Unit testing
CI/CD
Data quality troubleshooting
Communication skills
GCP
BigQuery
Cloud Composer
Cloud Storage
.NET knowledge

Tools

dbt
Apache Airflow
BigQuery
Cloud Composer
Cloud Storage

Job description

Evolution Recruitment Solutions Pte Ltd is seeking a Data Engineer to design and implement scalable data pipelines and analytics solutions for business reporting. You will work with SQL, Python and modern cloud-native tools to deliver reliable data models and dashboards.

You will own the data warehouse design, build dimensional models, and orchestrate workflows with Airflow, dbt and related technologies, while adhering to CI/CD and data quality best practices.

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