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Data Engineer

NeutronSingapore, Singapore, Singapore

4 days ago

Job description

To support the development and maintenance of enterprise data products within our organisation's data platform, we are looking for experienced data engineers to join our team who will be responsible for :

Data Engineering and Platform Integration

Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Athena, S3, RDS)
Work with data virtualisation tools like Denodo and develop VQL queries
Ingest and process data from various internal and external data sources
Perform data extraction, cleaning, transformation, and loading operations
Implement automated data collection processes including API integrations when necessary

Data Architecture

Design and implement data models (conceptual, logical, and physical) using tools like ER Studio

Develop and maintain data warehouses, data lakes, and operational data stores

Develop and maintain data blueprints

Create data marts and analytical views to support business intelligence needs using Denodo, RDS

Implement master data management practices and data governance standards

Technical Architecture and Integration

Ensure seamless integration between various data systems and applications

Implement data security and compliance requirements

Design scalable solutions for data integration and consolidation

Development and Analytics

Develop Python scripts in AWS Glue for data processing and automation

Write efficient VQL / SQL queries and stored procedures

Design and develop RESTful APIs using modern frameworks and best practices for data services

Work with AWS Sagemaker for machine learning model deployment and integration

Manage and optimise database performance, including indexing, query tuning, and maintenance

Work in an Agile environment and participate in sprint planning, daily stand-ups, and retrospectives

Implement and maintain CI / CD pipelines for automated testing and deployment

Participate in peer code reviews and pair programming sessions

Documentation and Best Practices

Create and maintain technical documentation for data models and systems

Follow industry-standard coding practices, version control, and change management procedures

Stakeholder Collaboration

Partner with cross-functional teams on data engineering initiatives

Gather requirements, conduct technical discussions, implement solutions, and perform testing

Collaborate with Product Managers, Business Analysts, Data Analysts, Solution Architects, UX Designers to build scalable, data-driven products

Provide technical guidance and support for data-related queries

Qualifications and Experience :

At least 3 years of experience in data engineering or similar role

Strong proficiency in Python, VQL, SQL

Experience with AWS services (Glue, Athena, S3, RDS, Sagemaker)

Knowledge of data virtualisation concepts and tools (preferably Denodo)

Experience with BI tools (preferably Tableau, Power BI)

Understanding of data modelling and database design principles

Familiarity with data governance and master data management concepts

Experience with version control systems (Gitlab) and CI / CD pipelines

Experience working in Agile environments with iterative development practices

Strong problem-solving skills and attention to detail

Excellent communication skills and ability to work in a team environment

Knowledge of AI technologies (AWS Bedrock, Azure AI, LLMs) would be advantageous

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Data Engineer • Singapore, Singapore, Singapore

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