Senior Data Engineer – Mid Shift
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Job Description
Data Engineer building AWS and Snowflake platforms for Shore360, an Australian-owned Philippine staffing and administrative support firm. Developing reliable pipelines, APIs, and data quality controls.
Responsibilities:
- Build, maintain, and optimise production-grade data pipelines for ingestion, transformation, and delivery using AWS and Snowflake
- Implement Change Data Capture pipelines and manage schema evolution across application databases and external data sources
- Develop and maintain workflow orchestration with error handling, retries, monitoring, alerting, and operational documentation
- Implement automated data quality checks and controls
- Design and maintain bronze, silver, and gold medallion architecture layers
- Optimise data storage, partitioning, query performance, and cloud resource usage across AWS and Snowflake
- Develop and maintain secure, versioned APIs and data feeds for internal and external consumers
- Contribute to CI/CD pipelines, Terraform infrastructure as code, and environment management
- Support data catalogue development, including lineage, access controls, ownership, and business glossaries
- Collaborate with the Data Architect and stakeholders to implement platform standards and support data consumption requirements
- Maintain technical documentation, data flow records, and operational runbooks
- Apply AI-assisted development tools responsibly to improve productivity, code quality, and delivery efficiency while protecting sensitive information
Requirements:
- Degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience
- Typically five or more years of experience in data engineering or demonstrable experience delivering reliable, production-grade cloud data solutions
- Strong proficiency in Python and SQL for data engineering and transformation
- Hands-on experience with AWS services, particularly S3, DMS, Lambda, and Step Functions
- Practical experience with Snowflake, including SQL, Python, Tasks, role-based access control, data cataloguing, and data quality management
- Experience implementing CDC pipelines and handling schema changes
- Experience developing automated data quality checks and controls
- Familiarity with medallion architecture and dimensional data modelling
- Knowledge of API development and secure data delivery using API Gateway, Lambda, and REST APIs
- Familiarity with CI/CD, Terraform, Git, and CloudWatch
- Experience using AI-assisted engineering tools, with the ability to validate generated outputs and safeguard sensitive data
- Strong problem-solving skills, attention to detail, and a focus on delivering reliable, scalable data solutions
- Excellent written and spoken English, with clear asynchronous communication skills and the ability to collaborate effectively within a distributed team
- Strong understanding of data privacy, security, and governance, particularly in a financial services environment
- Preferred: Experience in financial services or investment management, particularly with asset manager, fund, or investment data
- Preferred: Previous experience working in a remote or distributed team
- Preferred: Experience working with analytical or AI-assisted solutions within Snowflake
- Familiarity with Microsoft 365, Salesforce, eVestment, FactSet, Preqin, Windows, and Linux
Benefits:
- Day 1 HMO Coverage
- Unlimited Barista Coffee all shift long
- Free Parking & Shuttle
- Premium Game Lounge – Relax and recharge in our dedicated on-site recreational zone
- Social Passion Clubs – Photography, Dance, Fitness, Book, and Music Clubs
- Engaging Monthly Events – Enjoy regular team activities, celebrations, prizes, and rewards
- Referral Incentives – Get rewarded for bringing top talent to the team
- Statutory Benefits – Maternity, Paternity, and Solo Parent Leaves, Magna Carta for Women, OT, and Premium Pays
- Employee Referral Incentives (Bronze)
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