Data & Analytics Engineering Lead for Scalable Pipelines

UARROW PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

UARROW PTE. LTD. in Singapore is looking for a Data Engineer to design, develop and support enterprise-scale data pipelines and ETL processes across banking and financial services environments.

You will work with Python, PySpark, SQL and Hive on Hadoop HDFS and Spark, and leverage cloud/object storage. The role includes data migration, data quality checks and modernisation initiatives, plus production support.

Qualifications

• Degree in Computer Science, Information Technology, Data Engineering or a related discipline.

Responsibilities

• Design, develop and optimise scalable data pipelines and ETL processes.

Skills

Python

PySpark

SQL

Hive

Hadoop

Spark

Data modelling

Data quality

Data pipeline optimisation

Git

Jenkins

Education

Bachelor's degree in Computer Science / Information Technology / Data Engineering

Tools

Talend

DataStage

Informatica

Autosys

Control-M

Snowflake

Cloudera

Job description

UARROW PTE. LTD. in Singapore is looking for a Data Engineer to design, develop and support enterprise-scale data pipelines and ETL processes across banking and financial services environments.

You will work with Python, PySpark, SQL and Hive on Hadoop HDFS and Spark, and leverage cloud/object storage. The role includes data migration, data quality checks and modernisation initiatives, plus production support.