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