Data Engineer
Core
Building and maintaining data pipelines and processes for financial analytics, reporting, and decision-making within a fintech ecosystem.
Role type
Data Engineer
Builds
Data pipelines for real-time and batch processing, ETL/ELT workflows, and data streaming solutions.
Domain
Fintech / Online Gaming
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python or Java, data pipeline development (real-time and batch), ETL/ELT workflows, data streaming platforms (Kafka, RabbitMQ), data modeling for relational databases, data quality assurance.
Preferred skills
Cloud platforms (AWS, Azure, Google Cloud), big data technologies (Spark, Hadoop), data governance and compliance, JSON/Parquet formats, Docker, Airflow.
Technologies
Kafka, RabbitMQ, SQL, Python, Java, AWS, Azure, Google Cloud, Spark, Hadoop, Airflow, Docker, JSON, Parquet
Responsibilities
Develop and maintain data pipelines for real-time and batch processing; Write and optimize SQL queries and scripts; Support ETL/ELT workflows; Integrate data from various sources into centralized systems; Implement and manage data streaming solutions; Monitor and troubleshoot data pipelines; Document data workflows.
Seniority
Mid-level (3-4 years experience)
