Technical Manager/ Data Project Manager at Unison Group

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Spark SQL, SQL, ETL/ELT, Hadoop, Data Lake, Lakehouse Architecture, AWS, Azure, GCP, Data Modeling, CI/CD, DevOps, Agile, Data Governance

Industry

Business Consulting and Services

Description

 Lead and manage large-scale Data Engineering and Data Modernization projects.  Drive end-to-end delivery of Data Lake build and migration initiatives.  Lead PySpark migration and optimization projects, ensuring performance and scalability.  Design and implement modern data architectures, including Data Lakes, Data Warehouses, and Lakehouse solutions.  Collaborate with business stakeholders, architects, and engineering teams to define data strategies and roadmaps.  Provide technical leadership and mentorship to Data Engineers and Developers.  Ensure best practices around: Data governance Data quality Security and compliance Performance optimization  Lead data platform modernization initiatives across cloud environments.  Review solution designs, architecture documents, and implementation approaches.  Manage project planning, resource allocation, risks, and delivery timelines.  Drive Agile delivery and ensure successful project execution. 8+ years of experience in Data Engineering and Data Platform delivery. Minimum 3+ years of experience in a Technical Manager or Lead role. Proven experience in delivering: Data Lake implementation projects Data Lake migration programs PySpark migration projects Large-scale data transformation initiatives Technical Skills Strong expertise in: Python PySpark Spark SQL SQL ETL/ELT frameworks Experience with: Hadoop ecosystem Data Lakes and Lakehouse architectures Distributed data processing frameworks Strong understanding of: Data modeling Data integration patterns Batch and real-time processing Experience with cloud platforms such as: AWS Azure GCP Hands-on experience with: Data migration strategies Performance tuning and optimisation CI/CD and DevOps practices for data platforms Preferred Skills Experience with: Databricks Delta Lake Apache Airflow Kafka Snowflake Kubernetes and Docker Experience in Banking, Financial Services, or other large enterprise environments. Exposure to data governance and data quality frameworks.

Responsibilities

Lead and manage large-scale data engineering and modernization projects, focusing on Data Lake builds and PySpark migrations. Collaborate with stakeholders to define data strategies while providing technical leadership and mentorship to engineering teams.