Senior Data Engineer – Banking/Financial

re-zoo-me; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

re-zoo-me is recruiting a seasoned Data Engineer to design and deliver large-scale data pipelines within banking/financial services. You will drive ETL modernization, data integration and batch processing across enterprise platforms.

Key focus areas include migrating Teradata to Hadoop/Data Lake, data modelling and ensuring data quality, lineage and governance for critical datasets.

Qualifications

• 15+ years of hands-on data engineering and data warehousing experience.
• Strong expertise in Python, PySpark, SQL, Hadoop HDFS, Spark, Hive and Teradata.
• Proven design and implementation of large-scale data pipelines and ETL frameworks.
• Experience with enterprise ETL platforms such as Talend, DataStage or Informatica.
• Teradata-to-Hadoop/Data Lake migration and legacy platform modernisation.

Responsibilities

• Lead data engineering teams, provide design reviews and governance.
• Design data architecture, CI/CD pipelines and batch processing solutions.
• Deliver regulatory or risk-data initiatives (AML, MAS, BCBS239).
• Collaborate with Banking tech teams, BI, Infra and Data Management.
• Responsible for production support and delivery ownership.

Skills

Python

PySpark

SQL

Hadoop HDFS

Spark

Hive

Teradata

Data modelling

Data quality

Data lineage

Data transformation

Jenkins

Git

Autosys

Control-M

Data profiling

Data migration

Architecture frameworks

Tools

Talend

DataStage

Informatica

Job description

15+ years of hands-on experience in Data Engineering, Data Warehousing, ETL and enterprise data platforms, preferably within Banking/Financial Services.

Strong hands-on expertise in Python, PySpark, SQL, Hadoop HDFS, Spark, Hive and Teradata; candidates without these core technologies will not be considered.

Proven experience designing and implementing large-scale data pipelines, ETL frameworks, data integration and batch processing solutions.

Extensive experience with at least one enterprise ETL platform such as Talend, DataStage or Informatica, including migration and optimisation.

Strong experience in Teradata-to-Hadoop/Data Lake migration, legacy platform modernisation, technology refresh and application decommissioning.

Experience working on enterprise Banking data platforms, preferably with Retail Banking, Cards, AML, Fraud, Regulatory Reporting or Data Warehouse environments.

Hands-on experience with data modelling, data profiling, data quality, data lineage, data transformation and large-volume structured/unstructured datasets.

Proven technical leadership of large data engineering teams, including solution design, code/design reviews, technical troubleshooting, delivery governance and production support.

Strong experience designing data architecture/frameworks, CI/CD pipelines, orchestration and batch processing using tools such as Autosys, Control-M, Jenkins and Git.

Experience with enterprise data migration, performance tuning, job optimisation, capacity planning and production/BAU support in high-volume banking environments.

Experience delivering regulatory or risk-data initiatives, such as AML, Fraud, MAS regulatory requirements, BCBS239, data quality or critical data element lineage.

Strong stakeholder management with Banking technology teams, Business Analysts, Infrastructure teams, Data Management teams and senior client stakeholders, with ownership of technical solution delivery.