Senior Data Engineer

5 days ago

Singapore Rapsys Technologies Full time

**Key Responsibilities**
- Design, build, and optimize **ETL/ELT pipelines** using **Databricks**, **Apache Spark**, **PySpark**, or **Azure Synapse**.
- Develop **real-time streaming pipelines** using **Kafka**, **Confluent**, or **Azure Event Hubs**.
- Integrate and transform data from **Core Banking**, **Trade**, **Payments**, **Treasury**, and **CRM** systems.
- Implement **data quality**, **validation**, and **lineage** controls using tools like **dbt**, **Great Expectations**, or **Deequ**.
- Create and maintain **data models** (3NF, dimensional, or Data Vault) to support analytics and reporting.
- Support **regulatory reporting data flows** (e.g., **MAS 610/649**, **Basel III/IV**, **IFRS 9/17**).
- Collaborate with **Data Scientists** and **AI Engineers** to enable **ML feature stores** and **model-serving pipelines**.
- Participate in **data platform modernization** projects (e.g., migration from **Teradata / DB2** to **Snowflake / Databricks / Synapse**).
- Automate data workflows and maintain **CI/CD pipelines** using **Azure DevOps**, **Terraform**, or **GitHub Actions**.

**Technical Skills**
- **Languages**: Python, PySpark, SQL, Scala
- **Data Platforms**: Azure Data Lake, Synapse, Databricks, Snowflake
- **Data Orchestration**: Airflow, Azure Data Factory, dbt
- **Streaming**: Kafka, Confluent, Event Hubs
- **Governance**: Azure Purview, Apache Atlas, Collibra
- **Security**: Data encryption, masking, RBAC, tokenization
- **CI/CD & Infrastructure**: Terraform, Azure DevOps, GitHub Actions

**Experience & Qualifications**
- 6-10 years of experience in **data engineering**, with at least 3 years in **banking or financial services**.
- Proven hands-on experience building **real-time** and **batch** data pipelines on **Azure** or **AWS**.
- Exposure to **regulatory data frameworks** (MAS 610, Basel III/IV, IFRS 9/17, BCBS 239).
- Understanding of **DevOps** and **MLOps** integration for data workloads.
- Bachelor’s or Master’s degree in **Computer Science**, **Data Engineering**, or a related field.
- **Preferred Certifications**:

- Microsoft Azure Data Engineer Associate
- Databricks Data Engineer Professional
- Snowflake SnowPro Core

**Key Attributes**
- Strong analytical and problem-solving mindset.
- Excellent communication and teamwork skills.
- High attention to data quality, performance, and compliance.
- Ownership and accountability in delivering high-impact solutions.

**Job Types**: Full-time, Contract
Contract length: 12 months

Pay: Up to $9,000.00 per month

**Location**:

- Singapore (required)

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