Data Platform Engineer

2 weeks ago

Singapore Trust Bank Singapore Limited Full time

Trust is the first of a new breed of banks in Singapore - digitally native and focused on delivering a delightful customer experience. You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank and be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.

As a **Data Platform Engineer** you'd be able to work on and solve some of the many interesting challenges we are facing, learn new ways of working, and build delightful high-quality products for our customers.

**Responsibilities**:

- Organize, build and maintain the data platform (Kafka, RDS, and S3).
- Build data pipelines to enable scalable processing of large volumes of data
- Manage the infrastructure and the cloud platform that manage and house the data for realtime and batch processing for the Bank
- Work with stakeholders to identify and solve business needs related to advanced data processing
- Take on adhoc responsibilities in the Data platform and Engineering space
- Work closely with stakeholders across all areas of the bank to provide clear expertise on data related issues

In order to be successful at the role, you must have the following:

- Bachelor's Degree in Statistics, Mathematics, Computer Science or area with strong quantitative content
- At least 5 years of working experience in DevOps, Platform and data engineering with deep knowledge of Kafka and RDMS.
- Strong knowledge and experience in building and maintaining scalable data pipelines
- Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools (e.g., Airflow, Spark), Unix/Linux/K8s environments
- Proficiency in SQL and RDBMS
- Good working knowledge of Git and CI/CD pipelines

**Role Specific Technical Competencies**
- Experience in DevOps, Platform and data engineering with deep knowledge of Kafka and RDMS.
- Strong knowledge and experience in building and maintaining scalable data pipelines
- Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools (e.g., Airflow, Spark), Unix/Linux/K8s environments
- Proficiency in SQL and RDBMS
- Good working knowledge of Git and CI/CD pipelines

**Come as you are** Trust is an inclusive and open-minded workplace. If you are smart and good at what you do, that's what we care about. So come as you are.

**Trust is an equal opportunity employer. We prohibit discrimination and harassment of any kind.** We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trust are based on business needs, job requirements and individual qualifications, without regard to age, gender, physical ability, race, religion or belief, family or parental status, sexuality, or any other status protected by laws or regulations. We will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.

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