More jobs:
DATA ENGINEER
Job in
Singapore, Singapore
Listed on 2026-10-15
Listing for:
REGTECH INSIGHT PTE. LTD.
Full Time
position Listed on 2026-10-15
Job specializations:
-
Software Development
Data Engineering, SQL Developer, Python
Job Description & How to Apply Below
- Design, develop and maintain scalable data pipelines and data ingestion frameworks for large-volume datasets.
- Develop data transformation and processing applications using Apache Spark, PySpark, Scala and Python
. - Build and optimize data pipelines using Azure Databricks, Azure Data Factory, AWS EMR and related cloud services.
- Work with Hadoop, HDFS, Hive, Snowflake, Teradata and Data Lake environments.
- Develop batch and real-time data processing solutions using Spark Structured Streaming and Kafka
. - Perform data extraction, transformation and loading across heterogeneous source and target systems.
- Develop and optimize Spark SQL, HiveQL and SQL queries for performance and cost efficiency.
- Design data models, partitioning strategies and scalable data storage architectures.
- Build and manage workflow orchestration using Apache Airflow
. - Implement CI/CD pipelines and automated testing using tools such as Jenkins, Docker, Git Hub Actions and pytest
. - Troubleshoot data pipeline, performance and production issues and implement sustainable solutions.
- Collaborate with business stakeholders, architects and technology teams to understand requirements and deliver data engineering solutions.
- Ensure data quality, reliability, security and operational stability across enterprise data platforms.
- 6+ years of experience in Data Engineering / Big Data Engineering
. - Strong hands‑on experience with Apache Spark / Py Spark .
- Strong programming skills in Python and/or Scala
. - Good experience with Hadoop, HDFS and Hive
. - Experience developing ETL/ELT and data ingestion pipelines
. - Strong SQL and data processing skills.
- Experience with Azure Databricks, Azure Data Factory, AWS EMR or equivalent cloud data platforms.
- Experience with Kafka / real‑time streaming is an advantage.
- Hands‑on experience with Airflow and data pipeline orchestration.
- Experience with Snowflake, Teradata, SQL Server or other enterprise databases
. - Good understanding of Data Lake, Delta Lake, Data Warehousing and Data Modelling
. - Experience with Git, CI/CD, Docker and automated testing
.
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