全职 DATA ENGINEER 工作, 薪水 up to SGD 7,000, AXIOM RISE CONSULTANCY PTE. LTD. North Region (Singapore) 公司招聘中 - Ricebowl

Key Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple source systems.

Build and maintain cloud-based data platforms, data lakes, and data warehouses to support analytics and reporting.

Develop robust SQL and Python-based data transformation logic, ensuring high performance and scalability.

Implement data validation, reconciliation, monitoring, and quality frameworks to ensure data accuracy and reliability.

Collaborate with business, product, analytics, and engineering teams to gather requirements and deliver data solutions aligned with business objectives.

Develop and optimize data models, staging layers, and curated datasets for BI reporting and downstream applications.

Integrate data from APIs, databases, cloud storage, and third-party systems using modern integration techniques.

Troubleshoot data pipeline issues, optimize performance, and support production deployments.

Implement data governance, security, documentation, and best practices throughout the data lifecycle.

Participate in Agile ceremonies, code reviews, and continuous improvement initiatives.

Required Skills & Qualifications

10+ years of IT experience with at least 5 years of hands-on Data Engineering experience.

Strong proficiency in SQL and Python.

Hands-on experience with ETL/ELT development and data pipeline orchestration.

Experience with cloud platforms such as AWS, Azure, or GCP.

Experience with technologies such as Databricks, Apache Spark/PySpark, Amazon Redshift, AWS Glue, Amazon S3, or equivalent cloud data services.

Strong understanding of data warehousing, dimensional modeling, and modern data lake architectures.

Experience working with relational databases, APIs, file-based integrations, and cloud storage.

Knowledge of data quality, metadata management, and data governance principles.

Experience working in Agile/Scrum environments.

Excellent analytical, problem-solving, and stakeholder communication skills.

Preferred Qualifications

Experience with workflow orchestration tools such as Apache Airflow or equivalent.

Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.

Familiarity with Power BI, Tableau, or other BI tools.

Cloud certifications (AWS, Azure, Databricks) are a plus.

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.