Senior Data Engineer

• 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

This is your 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