Data Engineer
Summary
Designs and maintains enterprise-scale data pipelines and ETL workflows for banking clients using SQL, Python, Spark, and cloud platforms like AWS/Azure.
Job Title: Data Engineer
Location:
Changi / Anson Road, Singapore Experience:
5+ Years
About the Rol eWe are hiring experienced
Data Engineer s for exciting transformation projects. This is an excellent opportunity to work on enterprise-scale data platforms, modern data engineering technologies, and mission-critical banking initiatives
. Key Responsibiliti esDesign, develop, and maintain scalable data pipelines and ETL/ELT workflow s.Build and optimize data solutions for structured and unstructured dat a.Develop data integration processes across multiple source system s.Ensure data quality, governance, security, and integrity throughout the data lifecycl e.Optimize SQL queries and data processing performanc e.Work closely with business stakeholders, architects, and application teams to deliver data solution s.Support production deployments, troubleshooting, and performance tunin g.Participate in code reviews and follow best practices for data engineering and software developmen
t.Required Skil lsMinimu m 5 years of experien ce as a Data Enginee r.Strong hands-on experience wit h S QL and data modelin g.Experience building and maintainin g ETL/ELT pipelin e s.Proficiency i n Pyth on and/o r Sca l a.Experience wit h Spark/PySpa r k.Exposure to cloud platforms such a s AWS, Azure, or G C P.Knowledge of data warehousing concepts and data lake architecture s.Experience with workflow orchestration tools such a s Airfl ow or simila r.Familiarity with version control tools lik e G i
t. Preferred Ski llsBanking or financial services domain experien ce.Experience with CI/CD pipelin es.Knowledge of big data technologies and distributed computi ng.Strong analytical and problem-solving abiliti es.Excellent communication and stakeholder management skil
ls.
Changi / Anson Road, Singapore Experience:
5+ Years
About the Rol eWe are hiring experienced
Data Engineer s for exciting transformation projects. This is an excellent opportunity to work on enterprise-scale data platforms, modern data engineering technologies, and mission-critical banking initiatives
. Key Responsibiliti esDesign, develop, and maintain scalable data pipelines and ETL/ELT workflow s.Build and optimize data solutions for structured and unstructured dat a.Develop data integration processes across multiple source system s.Ensure data quality, governance, security, and integrity throughout the data lifecycl e.Optimize SQL queries and data processing performanc e.Work closely with business stakeholders, architects, and application teams to deliver data solution s.Support production deployments, troubleshooting, and performance tunin g.Participate in code reviews and follow best practices for data engineering and software developmen
t.Required Skil lsMinimu m 5 years of experien ce as a Data Enginee r.Strong hands-on experience wit h S QL and data modelin g.Experience building and maintainin g ETL/ELT pipelin e s.Proficiency i n Pyth on and/o r Sca l a.Experience wit h Spark/PySpa r k.Exposure to cloud platforms such a s AWS, Azure, or G C P.Knowledge of data warehousing concepts and data lake architecture s.Experience with workflow orchestration tools such a s Airfl ow or simila r.Familiarity with version control tools lik e G i
t. Preferred Ski llsBanking or financial services domain experien ce.Experience with CI/CD pipelin es.Knowledge of big data technologies and distributed computi ng.Strong analytical and problem-solving abiliti es.Excellent communication and stakeholder management skil
ls.