Senior Data Engineer

We are looking for a senior Data Engineer to join our team and work with cutting-edge cloud technologies like Databricks, Kafka, Spark, DBT and Python libraries to build robust data pipelines and scalable infrastructure.

Requirements

• Design, implement, and maintain robust and scalable data pipelines using AWS, Azure, and containerization technologies.
• Develop and maintain ETL/ELT processes to extract, transform, and load data from various sources into data warehouses and data lakes.
• Collaborate with data scientists, analysts, and other engineers to ensure seamless data flow and availability across the organization.
• Optimize data storage and retrieval performance by utilizing cloud services like AWS Redshift, Azure Synapse, or other relevant technologies.
• Monitor, troubleshoot, and optimize data processing pipelines for performance, reliability, and cost-efficiency.
• Automate manual data processing tasks and improve data quality by implementing data validation and monitoring systems.
• Implement and maintain CI/CD pipelines for data workflow automation and deployment.
• Ensure compliance with data governance, security, and privacy regulations across all data systems.
• Participate in code reviews and ensure the use of best practices and documentation for data engineering solutions.
• Stay up-to-date with the latest data engineering trends, cloud services, and technologies to continuously improve system performance and capabilities.

Benefits

• Competitive salary and flexible payment method.
• Opportunities for growth and professional development.
• Flexible working hours and full remote work opportunity.
• Work in a collaborative, innovative and inclusive environment.
• Be a part of a data-driven culture that is at the forefront of innovation.