About this role

Design, develop, and maintain robust and scalable data pipelines (ETL/ELT)
Build and optimize data architectures and data models
Ensure high data quality, integrity, and reliability across systems
Collaborate with data analysts, data scientists, and other stakeholders
Optimize data processing workflows for performance and scalability
Implement and enforce data governance and security best practices
Troubleshoot and resolve data-related issues
Contribute to the continuous improvement of data engineering standards and processes

Proven experience as a Data Engineer, with significant experience in a senior role
Strong proficiency in Python, SQL, and data processing frameworks (e.g., Spark)
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake)
Solid understanding of data modeling and database design
Experience building and maintaining large-scale data pipelines
Familiarity with orchestration tools (e.g., Airflow)
Strong problem-solving skills and attention to detail

Senior Data Engineer

Key skills