Senior Data Engineer
AWS - databricks - SQL - Python - Tableau
Do you want to be part of a dynamic and fast-growing organization, 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.
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