minka_
Fintech • Finance
minka_ is a company that provides a platform-as-a-service designed to facilitate real-time money movement between financial institutions. Their solutions include real-time payments, alias directories to improve user experience, and ledger services for managing and tracking financial transactions using digital signatures. minka_'s technology focuses on enabling seamless, secure, and scalable financial operations across multiple currencies and systems.
11 - 50 employees
Founded 2018
đź’ł Fintech
đź’¸ Finance
Senior Data Engineer
Job not on LinkedIn
September 4
minka_
Fintech • Finance
minka_ is a company that provides a platform-as-a-service designed to facilitate real-time money movement between financial institutions. Their solutions include real-time payments, alias directories to improve user experience, and ledger services for managing and tracking financial transactions using digital signatures. minka_'s technology focuses on enabling seamless, secure, and scalable financial operations across multiple currencies and systems.
11 - 50 employees
Founded 2018
đź’ł Fintech
đź’¸ Finance
đź“‹ Description
• Responsible for end-to-end data platform processes: collecting, storing, processing and analysing huge data sets • Own, maintain and plan improvements of the data platform infrastructure • Participate in agile product development process, ensure features are prioritized accurately and releases are delivered on time • Work alongside quality assurance to deliver a high quality product • Investigate and recommend new technologies or products to improve data platform system performance, reliability and costs • Design and implement data structures to enable efficient analytics and reporting • Build reliable and efficient ETL pipelines for data sync from various data sources • Deep dive in data and find relevant insights and reports • Build and manage data products with OLTP and OLAP databases • Identify relevant data sources for business needs, source missing data, and enhance the data collection process • Collaborate with Product and other stakeholders to design and plan new features • Prepare and participate in release planning with Product and QA teams to ensure quality and on-time delivery • Make decisions adapting to unplanned obstacles to maximize consistency with product roadmap and customer priorities
🎯 Requirements
• 7+ years of experience in data engineering • Degree in STEM related area (eg. computer science, electronic engineering, mathematics, physics) • Experience with commercial cloud-based solutions (GCP, AWS, Azure, Oracle) • Experience working with large and/or complex datasets • Experience using cloud pipeline architectures (Google Cloud Platform preferred) • Experience working with OLTP databases (PostgreSQL prefered) • Good level of SQL skills • Strong analytical and problem solving skills • Strong communicator; able to convey ideas clearly to a multi-disciplinary team • Ability to learn new systems and work with global technology team • Preferred: Experience in financial services or fintech • Preferred: Experience with programming languages (Javascript, Java, Python, etc.) • Preferred: Experience building stream-processing systems (using messaging systems, such as Kafka or RabbitMQ)
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