Senior Data Engineer, Banking & Financial Tech Lead

uarrow pte. ltd.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

uarrow pte. ltd. in Singapore seeks a hands-on Senior Data Engineer to architect and scale enterprise data platforms for Banking/Financial services.

You will lead data pipelines using Python, PySpark, SQL, Hadoop HDFS, Spark, Hive and Teradata, and drive migration and optimisation of ETL platforms (Talend/DataStage/Informatica).

You will mentor teams, enforce data quality, and collaborate with Technology, Analytics and Compliance stakeholders on regulatory data initiatives.

Qualifications

• 15+ years hands-on experience in data engineering and enterprise data platforms.
• Strong expertise in Python, PySpark, SQL, Hadoop HDFS, Spark, Hive, Teradata.
• Proven ability to design large-scale ETL pipelines and batch processing.
• Experience with migration/optimisation of ETL platforms (Talend/DataStage/Informatica).
• Leadership of large data engineering teams and production support.
• Experience with data governance topics and data quality, lineage.

Responsibilities

• Lead data engineering teams, review designs and troubleshoot issues.
• Oversee delivery governance and production support.
• Design data architecture frameworks and CI/CD pipelines.
• Collaborate with banking technology teams and stakeholders.

Skills

Python

PySpark

SQL

Hadoop HDFS

Spark

Hive

Teradata

Tools

Talend

DataStage

Informatica

Autosys

Control-M

Jenkins

Git

Job description

uarrow pte. ltd. in Singapore seeks a hands-on Senior Data Engineer to architect and scale enterprise data platforms for Banking/Financial services.

You will lead data pipelines using Python, PySpark, SQL, Hadoop HDFS, Spark, Hive and Teradata, and drive migration and optimisation of ETL platforms (Talend/DataStage/Informatica).

You will mentor teams, enforce data quality, and collaborate with Technology, Analytics and Compliance stakeholders on regulatory data initiatives.