Senior Data Engineer

Senior Data Engineer

AWS - databricks - SQL - Python

Do you want to be part of a dynamic and fast-growing organization, who deeply committed to advancing towards a global circular economy by addressing sustainability from the perspectives of people, the planet, and finance.

We're looking for a talented Senior Data Engineer to join a new data team. This is an exciting opportunity to be part of building a top-tier data infrastructure from scratch.

Key Responsibilities:

• Design and implement ETL processes to merge data from multiple sources into our data warehouse
• Partner with the business team to understand their data needs and develop effective data pipelines to support their activities
• Create and maintain scalable data models and schemas for efficient querying and analysis of large datasets
• Ensure high data quality and accuracy through automated testing and continuous monitoring
• Collaborate with cross-functional teams to uncover opportunities for data-driven insights and solutions

Skills and Experience:

• Experience in data engineering, with expertise in designing and developing ETL processes
• Strong experience with one or more ETL tools
• Proficiency in SQL and experience working with large datasets
• Experience with cloud-based data warehousing solutions such as AWS Redshift, Google BigQuery, or Snowflake
• Excellent analytical and problem-solving abilities, with the capability to work both independently and as part of a team to achieve results