unisync systems pte. ltd.
Open positions
Data Scientist
Job Summary Analyze manufacturing plant and process data to deliver data-driven solutions that optimize operations. Develop and deploy machine learning models using Seeq and Python , collaborating with cross-functional…
APPLICATION DEVELOPMENT MANAGER
Job Summary Lead and manage data engineering teams to design and deliver scalable enterprise data platforms and pipelines, driving technical execution and collaboration with stakeholders to meet business requirements.…
Senior Data Engineer Banking/Financial
Job Summary Lead the design and implementation of large-scale data engineering solutions within banking environments. Drive data platform modernization, migration, and regulatory initiatives while managing technical…
Data Lake Systems Engineer – ETL & Governance
Designs and supports enterprise-scale data-lake platforms, building and optimizing ETL pipelines that integrate multiple data sources with data-quality and validation controls. Core tools are Informatica, DataStage and SQL, with a focus on performance-tuning large batch workloads alongside global teams.
Data Scientist, AI & Big Data Platform Engineer
A data engineer role in Singapore focused on designing, building, and optimizing scalable ETL/ELT pipelines for large structured and unstructured datasets, supporting both batch and real-time workloads. Core stack includes Python, PySpark, Spark SQL, Scala, Kafka, Kinesis, AWS Glue, and Airflow.
Senior Data Engineer – Banking/Financial
Job Summary Lead the design and implementation of large-scale data engineering solutions within banking environments. Drive data platform modernization, migration, and regulatory initiatives while managing technical…
Senior Data Engineer: Scalable Spark & Cloud Data Pipelines
UNISYNC SYSTEMS PTE. LTD. is seeking a Senior Data Engineer to design, develop and maintain scalable data pipelines for large-volume datasets in a cloud-first environment. You will work with Spark, PySpark, Scala and…
Data Engineer
Senior data engineer building and optimizing large-volume data pipelines and ETL/ELT solutions using Spark/PySpark, Python/Scala, and cloud platforms such as Azure Databricks, Azure Data Factory and AWS EMR, with Kafka streaming, Airflow orchestration and CI/CD practices. Based onsite in Singapore; requires 6+ years of big data engineering experience.