- North Bridge Road Downtown Core Central Region (Singapore) Singapore
全职 Senior Data - Analytics Technical Lead 工作, 薪水 up to SGD 13,000, UNISYNC SYSTEMS PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl
Senior Data - Analytics Technical Lead
UNISYNC SYSTEMS PTE. LTD.
分享
保存
工作地点
职位描述
岗位职责
Job Summary
We are looking for a data engineer to design, develop, and support enterprise-scale data engineering solutions. The role will focus on data pipelines, ETL processing, big data platforms, data migration, data quality, and optimization across banking and financial services environments.
Key Responsibilities
Design, develop, and optimize scalable data pipelines and ETL processes.
Develop and maintain data processing solutions using Python, PySpark, SQL, Hive, and Spark.
Work with Big Data platforms, including Hadoop HDFS, Hive, and cloud/object storage environments.
Perform data extraction, transformation, and loading from multiple source systems.
Design and implement data migration and modernization solutions involving DataStage, Talend, Informatica, and Hadoop.
Develop and optimize batch processing and scheduling workflows using Autosys and Control-M.
Perform data profiling, data quality checks and performance optimisation.
Support data warehouse and dimensional data modelling activities.
Implement CI/CD processes for data pipeline deployments.
Work with business, application, and infrastructure teams to deliver data solutions.
Provide technical leadership and production support for enterprise data platforms.
Requirements
Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
Strong experience in data engineering, ETL, data warehousing, and Big Data technologies.
Strong hands-on experience in Python, PySpark, SQL, and Hive/HQL.
Experience with Hadoop, Spark, and enterprise data platforms.
Experience with Talend, DataStage, and/or Informatica.
Experience with Teradata, Oracle, or SQL Server.
Experience with Unix/Linux and shell scripting.
Experience with CI/CD tools such as Git and Jenkins.
Strong understanding of data modelling, data quality, and data pipeline optimization.
Banking or financial services experience will be an advantage.
Preferred Skills
Experience with Snowflake and Cloudera.
Experience with Autosys, Control-M, or similar scheduling tools.
Experience in large-scale data migration and technology modernization.
Strong stakeholder management and technical leadership skills.
We are looking for a data engineer to design, develop, and support enterprise-scale data engineering solutions. The role will focus on data pipelines, ETL processing, big data platforms, data migration, data quality, and optimization across banking and financial services environments.
Key Responsibilities
Design, develop, and optimize scalable data pipelines and ETL processes.
Develop and maintain data processing solutions using Python, PySpark, SQL, Hive, and Spark.
Work with Big Data platforms, including Hadoop HDFS, Hive, and cloud/object storage environments.
Perform data extraction, transformation, and loading from multiple source systems.
Design and implement data migration and modernization solutions involving DataStage, Talend, Informatica, and Hadoop.
Develop and optimize batch processing and scheduling workflows using Autosys and Control-M.
Perform data profiling, data quality checks and performance optimisation.
Support data warehouse and dimensional data modelling activities.
Implement CI/CD processes for data pipeline deployments.
Work with business, application, and infrastructure teams to deliver data solutions.
Provide technical leadership and production support for enterprise data platforms.
Requirements
Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
Strong experience in data engineering, ETL, data warehousing, and Big Data technologies.
Strong hands-on experience in Python, PySpark, SQL, and Hive/HQL.
Experience with Hadoop, Spark, and enterprise data platforms.
Experience with Talend, DataStage, and/or Informatica.
Experience with Teradata, Oracle, or SQL Server.
Experience with Unix/Linux and shell scripting.
Experience with CI/CD tools such as Git and Jenkins.
Strong understanding of data modelling, data quality, and data pipeline optimization.
Banking or financial services experience will be an advantage.
Preferred Skills
Experience with Snowflake and Cloudera.
Experience with Autosys, Control-M, or similar scheduling tools.
Experience in large-scale data migration and technology modernization.
Strong stakeholder management and technical leadership skills.
重要安全守则
申请工作时，切勿提供您的银行或信用卡详细资料。不要转账或完成无关的在线调查问卷。如果您发现可疑内容，请举报此招聘广告。
了解更多