Data Engineer (Data Infra & Ops)

StraitsX (Jakarta, Jakarta, Indonesia)

DKI Jakarta, Indonesia

StraitsX is the pioneering payments infrastructure for the digital assets space in Southeast Asia. It is a Major Payment Institution licensed by the Monetary Authority of Singapore. StraitsX offers personal and business accounts to transfer and hold funds as well as to connect accounts to digital asset platforms. Business accounts can also access B2B API-enabled payments rails for digital asset platforms. StraitsX issues the Singapore Dollar-backed stablecoin, XSGD & Indonesian Rupiah-backed stablecoin. StraitsX is a brand under Fazz, backed and supported by prominent investors including Tiger Global, Insignia Venture Partners, B Capital, BRI Ventures.

About this position

You will be part of the data infrastructure team, responsible for developing and maintaining the infrastructure of our data pipelines and data warehouse, ensuring optimized costs and secure access to data for stakeholders.

Responsibilities

• Designing and evaluating optimal data pipeline architecture
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, maintaining data pipeline monitoring, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/GCP Big Data technologies.
• Collaborate with data scientists, engineers, and stakeholders to ensure effective deployment and integration of machine learning models in the AWS cloud environment using related AWS services
• Support data scientists to troubleshoot and debug machine learning applications, providing technical support to resolve issues.
• Manage the auto-scaling and performance monitoring of the Data Infrastructure, including for machine learning applications
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

• Bachelor Degree, in Statistics, Mathematics or Computer Science
• At least 3 years experience as Data Engineer
• Strong skills in SQL, with proficiency in writing efficient and optimized code for data integration, storage, processing, and manipulation, and good knowledge of ETL and/or ELT tools
• Proficiency in one or more programming languages. Python is required.
• Have experience in cloud-based data-warehousing solutions such as BigQuery, Redshift, etc.
• Have experience related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
• Experience with Devops tools (such as Github Action) and infrastructure-as-code is a plus
• Knowledge of data security measures, including role-based access control (RBAC) and data encryption is a plus
• Good understanding of Data Quality and Governance, including implementation of data quality checks and monitoring processes to ensure that data is accurate, complete, and consistent is a plus
• Able to communicate in English