Expert Data Engineering

ACG2256JOB

Our client is a leading banking company who is looking for a qualified candidate to join their firm.

Data Architecture:

• Provide the necessary functionality for business analysts data scientists and other business roles to enhance the banks overall analytical performance and strategy.
  

• Develop best practices and strategies for data infrastructure to meet the data analytics and utilization needs of the business using the latest technologies and capabilities.
  

• Proactively identify opportunities to manage data effectively and offer solutions for complex data integration challenges within the bank.
  

• Assess different data architectures within the bank and leverage them to create data solutions that align with business requirements.
  

• Lead the delivery of data products and services into systems and business processes while ensuring compliance with internal regulatory standards.
  

• Oversee the review of both internal and external business and product requirements for data operations and activities suggesting system and storage improvements to meet ongoing needs.
  

Data Integration:

• Strategically acquire and integrate data from various sources into the firm s platforms solutions and statistical models.
  

• Collaborate with Data Scientists to understand data needs and create reusable data assets that facilitate faster development and deployment of machine learning models.
  

• Design develop and maintain efficient data pipelines and ETL solutions to support business analysis and provide realtime analytics for critical decisionmaking.
  

• Ensure data assets are organized and stored efficiently maintaining high quality reliability flexibility and effectiveness.
  

Project Management:

• Address project conflicts challenges and evolving business requirements to maintain high performance operations.
  

• Work with team leads to resolve personnel issues and project obstacles conduct postmortem reviews and root cause analyses to help teams improve practices and ensure maximum productivity.
  

Talent Development

• Guide and mentor junior Data Engineers to become fully proficient in their roles.
  

• Identify areas for growth and development within the team and encourage improvement.
  

Requirements

• Bachelor s or Master s degree in a relevant field such as Statistics Mathematics Data Science Computer Science Software Engineering or IT.
  

• More than 8 years of handson experience with developing debugging scripting and leveraging big data technologies (including but not limited to Hadoop Spark Flink Kafka Arrow Tableau) and database systems (both SQL and NoSQL). Proficient in various programming languages (e.g. Python R Scala Java Rust Kotlin) with a preference for functional programming approaches.
  

• English proficiency should align with companys language requirements.
  

• Demonstrated expertise in designing and implementing dimensional data models ETL processes and applying data warehousing techniques. Experience in optimizing data pipelines and playing a key role in data architecture or working closely with data architects.
  

• Strong background in monitoring complex systems and resolving issues using methodical and analytical approaches.
  

• Solid understanding of data security practices to ensure compliance and proper data management.
  

• Experience leading digital transformation projects within Agile teams with deep knowledge of Agile principles and Scrum practices.
  

• Ability to set up configure and manage environments for machine learning model development through scripting and coding.
  

• Proven experience in creating highperformance microservices or recommendation systems that cater to large user populations.
  

Contact: Hieu Nguyen Ngan Nguyen or Dung Nguyen

Due to the immense number of applications only shortlisted candidates will be contacted.