Data Engineer: Real-Time Pipelines & Cloud Warehousing

eAspire Technolabs Inc.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

eAspire Technolabs Inc. is seeking skilled Data Engineers to design, develop, implement, and maintain scalable data engineering solutions in Singapore. The role emphasizes data integration, ETL/ELT development, data pipelines, and cloud-based platforms.

Ideal candidates have hands-on experience with SQL, Python, PySpark, and a range of big data technologies such as Spark, Hadoop, Hive, Kafka, and Flink. Collaboration with architects, analysts, and stakeholders is essential for delivery.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• Experience in Data Engineering, ETL Development, Data Integration, or Data Warehousing.
• Strong SQL and data modelling understanding.
• Hands-on with programming languages and data engineering tools.
• Experience developing, maintaining, or optimizing data pipelines and data integration workflows.
• Familiarity with relational databases, data warehouses, or cloud data platforms.
• Good analytical, troubleshooting, and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Good communication with technical and business stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data processing solutions.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, integration, and loading.
• Extract, process, clean, validate, and transform structured, semi-structured, and unstructured data.
• Develop and optimize SQL queries, stored procedures, data models, and database structures.
• Work with data warehouses, data lakes, lakehouses, and enterprise data platforms.
• Implement batch processing and real-time data streaming solutions where required.
• Ensure data quality, integrity, consistency, reliability, and performance.
• Work with cloud-based data engineering services and platforms.
• Monitor, troubleshoot, and resolve data pipeline and production issues.
• Implement data security, governance, access controls, and data management best practices.
• Collaborate with data architects, analysts, data scientists, application developers, and business stakeholders.
• Participate in code reviews, technical documentation, testing, deployment, and continuous improvement.

Skills

Python

SQL

PySpark

Scala

Java

R

Shell Scripting

ETL Development

Data Integration

Data Warehousing

Education

Bachelor's degree

Tools

Apache Spark

Hadoop

Hive

Kafka

Flink

HDFS

Snowflake

Databricks

Delta Lake

Microsoft Fabric

Apache Iceberg

Redshift

BigQuery

Teradata

Airflow

Azure Data Factory

AWS Step Functions

Dagster

Prefect

Job description

eAspire Technolabs Inc. is seeking skilled Data Engineers to design, develop, implement, and maintain scalable data engineering solutions in Singapore. The role emphasizes data integration, ETL/ELT development, data pipelines, and cloud-based platforms.

Ideal candidates have hands-on experience with SQL, Python, PySpark, and a range of big data technologies such as Spark, Hadoop, Hive, Kafka, and Flink. Collaboration with architects, analysts, and stakeholders is essential for delivery.