Вакансия Data Engineer

Skills

• Python
• RDBMS
• NoSQL
• AWS
• MLOps
• ETL
• Microservices
• Kubernetes
• Azure
• GCP

Описание вакансии

We’re looking for a creative and impact-driven Senior Data Engineer eager to design and build powerful data solutions that empower millions of users. If you enjoy solving complex challenges, architecting systems that scale, and turning raw data into actionable insights – this opportunity is for you.
Join a purpose-led team that’s transforming how people in emerging markets access, manage, and grow their financial lives through technology.

Responsibilities

• Build data pipelines that collect and transform data to support ML models, analysis and reporting
• Work in a high volume production environment making data standardized and reusable, from architecture to production
• Work with off-the-shelf tools including DynamoDb, SQS, S3, RedShift, Snowflake, Mysql but often push them past their limits
• Work with an international multidisciplinary team of data engineers, data scientists and data analysts

Requirements

• At least 5+ years of experience in data engineering / software engineering in the big data domain
• At least 5+ years of coding experience with Python or equivalent
• SQL expertise, working with various databases (relational and NoSQL), data warehouses, external data sources and AWS cloud services
• Experience in building and optimizing data pipelines, architecture and data sets
• Experience with ML pipelines and MLOps tools
• Familiarity with data engineering tech stack – ETL tools, orchestration tools, micro-services, K8, lambdas
• End to end experience – owning features from an idea stage, through design, architecture, coding, integration and deployment stages
• Experience working with cloud services such as AWS, Azure, Google Cloud
• B.Sc. in computer science or equivalent STEM
• English – Upper-Intermediate+