Data Engineer

You are responsible for the design, development, and maintenance of a cutting edge data

infrastructure that empower the digital bank’s vision in offering innovative financial products with frictionless customer experience that is realized through large-scale data federation, predictive and prescriptive analytics, state-of-the-art machine/deep learning, and rapid experimentation. You and your team will take full ownership of the data infrastructure under your care.

Technology stack we use:

Python, MySQL, PostgreSQL, MongoDB, Redshift, Airflow, Kafka, Spark

Key Responsibilities:

• Actively contribute towards all data engineering best practices across the Engineering function
• Collaborate with Product and Engineering teams to construct data pipelines for business reporting and application monitoring
• Collaborate with analysts and data scientists to build analytical tools based on data pipelines
• Write the best code in terms of scalability and performance of the data infrastructure
• Participate in the data solutions development process from definition to deployment
• Provide consultation to Product and Engineering teams in data processing and storage best practices
• Responsible for supporting production code to produce comprehensive and accurate data artifacts
• Senior data engineers will mentor other data engineers for both personal and professional growth
• Design, evaluate, and communicate solutions to both technical and non-technical stakeholders

Requirements:

• Bachelor Degree in Computer Science, IT or similar field
• At least 3 years of experience in data engineer role
• Proficient with data development standards and ETL processes
• Proficient with with RDBMS (MySQL, Postgres), NoSQL (MongoDB), and data warehouses (Redshift)
• Experience in building processes that support data transformation and data delivery
• Proficient with programming and scripting languages (e.g. Java and Python}
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Familiarity with microservice architecture and domain-driven design is a plus
• Familiarity with data science techniques and frameworks is a plus
• Familiarity with Docker/Container, Container Orchestration (Kubernetes)
• Familiarity with CI/CD platforms (Jenkins, Bitbucket, Github Actions, Gitlab CI)
• Familiarity with modern cloud service provider such as AWS, Azure, and GCP