Senior Data Engineer Financial Services

SG, Singapore

Job Description

Job Requirements



Bachelor's or Master's degree in

Computer Science, Data Engineering, Information Systems

, or a related field. Atleast

6-10 years

of experience in

data engineering

, with at least

3 years in the BFSI domain

(banking, insurance, or capital markets). Proven experience in building

real-time and batch data pipelines

on

Azure or AWS

ecosystems. Strong

proficiency in Python, PySpark, SQL, and Scala

for data transformation, processing, and automation. Hands-on experience working with modern data platforms such as

Azure Data Lake, Azure Synapse Analytics, Databricks, and Snowflake for scalable dat

a

engineering solutions.

Proven ability to design, schedule, and monitor data workflows using orchestration tools like

Apache Airflow, Azure Data Factory, and dbt.

Experience in developing and maintaining real-time data streaming pipelines leveraging

Kafka, Confluent, or Azure Event Hubs.

Familiarity with data governance frameworks and tools such as Apache Atlas, Azure

Purview, and Collibra to ensure data lineage, cataloging, and compliance.

Strong understanding of data security practices

, including encryption, role-based access control (RBAC), tokenization, and audit logging, aligned with regulatory and compliance standards. Practical

knowledge of CI/CD and Infrastructure as Code (IaC) tools -- Terraform, Azure DevOps, and GitHub Actions -- for automating data infrastructure deployment and management

. Exposure to

regulatory data models

such as

MAS 610, Basel III, IFRS 9/17, BCBS 239

. Experience integrating

DevOps and MLOps

practices into data engineering workflows. Strong

analytical and problem-solving

mindset with attention to detail. Ability to collaborate effectively with

cross-functional and geographically distributed teams

. Excellent

written and verbal communication

skills. Demonstrated

ownership, accountability

, and

commitment to quality and delivery

.
Highly Preferred certifications:


Microsoft

Azure Data Engineer Associate

Databricks Data Engineer Professional

*

Snowflake SnowPro Core

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Job Detail

  • Job Id
    JD1673798
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    SG, Singapore
  • Education
    Not mentioned