Data Engineer

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

We are looking for skilled Data Engineers to design, develop, implement, and maintain scalable data engineering solutions. The ideal candidate should have experience in data integration, ETL/ELT development, data pipelines, data warehousing, big data technologies, and cloud-based data platforms.

Candidates with experience in one or more relevant data engineering technologies are encouraged to apply.

Key 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.

Technical Skills

Programming & Query Languages: Python, SQL, PySpark, Scala, Java, R, Shell Scripting.

Big Data Technologies: Apache Spark, Hadoop, Hive, Kafka, Flink, HDFS.

Data Warehousing & Lakehouse: Snowflake, Databricks, Delta Lake, Microsoft Fabric, Apache Iceberg, Amazon Redshift, BigQuery, Teradata.

Data Modelling: Dimensional Modelling, Star Schema, Snowflake Schema, Data Modelling, Data Marts, Data Warehousing.

Workflow Orchestration: Apache Airflow, Azure Data Factory, AWS Step Functions, Dagster, Prefect.

Data Governance & Quality: Data Validation, Data Profiling, Data Lineage, Metadata Management, Master Data Management, Data Cataloguing, Data Security.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Relevant experience in Data Engineering, ETL Development, Data Integration, Data Warehousing, or Big Data.
• Strong understanding of SQL, data structures, data modelling, and data processing concepts.
• Hands-on experience with one or more 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 skills and the ability to work with technical and business stakeholders.

Preferred Qualifications

• Experience with AWS, Azure, or GCP data services.
• Exposure to real-time data processing, streaming technologies, or distributed computing.
• Knowledge of data governance, security, and compliance practices.
• Experience with Agile/Scrum methodologies, CI/CD, and automated deployments.
• Relevant cloud, data engineering, or platform certifications are an advantage.