Senior Data Engineer (FinTech Project)

• Collaborate with stakeholders to identify business requirements and translate them into technical specifications 
• Design, build, monitor, and maintain data pipelines in production, including complex pipelines (Airflow, Python, event-driven systems) 
• Develop and maintain ETL processes for ingesting and transforming data from various sources 
• Monitor and troubleshoot infrastructure issues, such as Kubernetes and Terraform, including data quality, ETL processes, and cost optimization 
• Collaborate closely with analytics engineers on CI and infrastructure management 
• Drive the establishment and maintenance of the highest coding standards and practices, ensuring the development of efficient, scalable, and reliable data pipelines and systems 
• Participate in data governance initiatives to ensure data accuracy and integrity 
• Actively participate in the data team's routines and enhancement plans 
• Stay up to date with the latest developments in data technology and provide recommendations for improving our analytics capabilities 

• At least 5 years of experience in data engineering or software engineering with a strong focus on data infrastructure 
• Hands-on experience in AWS (or equivalent cloud platforms like GCP) and data analytics services 
• Strong proficiency in Python and SQL  
• Good understanding of database design, optimization, and maintenance (using DBT) 
• Strong experience with data modeling, ETL processes, and data warehousing 
• Familiarity with Terraform and Kubernetes 
• Expertise in developing and managing large-scale data flows efficiently 
• Experience with job orchestrators or scheduling tools like Airflow 
• At least an Upper-Intermediate level of English 

Would be a plus: 

• Experience managing RBAC on data warehouse 
• Experience maintaining security on data warehouse (IPs whitelist, masking, sharing data between accounts/clusters, etc.)