Job descriptionMy client a global wealth management financial institution is seeking a highly skilled Data Engineer to join their team. This role focuses on supporting data platforms, pipelines and datasets within the banking sector.ResponsibilitiesDesign, develop and maintain data pipelines using tools like Apache Spark, Kafka, and Hadoop.Manage and optimise SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB and Cassandra.Utilise cloud platforms such as AWS, Azure, or Google Cloud Platform for data services.Develop and maintain data warehousing solutions.Collaborate with cross-functional teams to understand data requirements and deliver solutions.Ensure compliance with banking regulations and standards, such as Basel III, GDPR and AML.Analyse large datasets to derive insights and support decision-making.Apply machine learning models for various banking applications, including fraud detection and risk assessment.Requirements5-8 years of experience in data engineering or a related field.Proficiency in programming languages such as Python, Java, or Scala.Strong understanding of data warehousing concepts and tools.Experience with cloud platforms and their data services.Knowledge of banking regulations and compliance requirements.Evidence of good analytical and problem-solving skillsEvidence of written communication skills and the ability to work collaboratively with teams.Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are a plus.Salary and BenefitsSalary: SG$10,000 - SG$12,000 per month (negotiable)Benefits: Medical benefits, 14-18 days of leaveIf you are interested in this role or would like to have a discussion, please contact [email protected].Equal Opportunity StatementTENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.
Job descriptionMy client a global wealth management financial institution is seeking a highly skilled Data Engineer to join their team. This role focuses on supporting data platforms, pipelines and datasets within the banking sector.ResponsibilitiesDesign, develop and maintain data pipelines using tools like Apache Spark, Kafka, and Hadoop.Manage and optimise SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB and Cassandra.Utilise cloud platforms such as AWS, Azure, or Google Cloud Platform for data services.Develop and maintain data warehousing solutions.Collaborate with cross-functional teams to understand data requirements and deliver solutions.Ensure compliance with banking regulations and standards, such as Basel III, GDPR and AML.Analyse large datasets to derive insights and support decision-making.Apply machine learning models for various banking applications, including fraud detection and risk assessment.Requirements5-8 years of experience in data engineering or a related field.Proficiency in programming languages such as Python, Java, or Scala.Strong understanding of data warehousing concepts and tools.Experience with cloud platforms and their data services.Knowledge of banking regulations and compliance requirements.Evidence of good analytical and problem-solving skillsEvidence of written communication skills and the ability to work collaboratively with teams.Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are a plus.Salary and BenefitsSalary: SG$10,000 - SG$12,000 per month (negotiable)Benefits: Medical benefits, 14-18 days of leaveIf you are interested in this role or would like to have a discussion, please contact [email protected].Equal Opportunity StatementTENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.
