Senior Data Solutions Architect
hace 3 días
About the Role
This is an exciting opportunity for a seasoned Data Engineer to join our team at Darwoft. As a Data Engineer, you will play a vital role in shaping our data strategy and driving business growth through data-driven insights.
You will be responsible for building and maintaining complex data pipelines using Databricks, working closely with cross-functional teams to integrate and transform data from various sources. Your solutions must be designed with scalability, performance, and cost-efficiency in mind, tailored to retail-specific needs.
You will also be responsible for monitoring and improving data quality, reliability, and observability across data systems. Additionally, you will drive best practices in data engineering, automation, and continuous improvement.
Requirements
- 7+ years of experience in data engineering, with a proven track record in Databricks and Spark
- Deep understanding of data warehousing concepts, data lake architecture, and ETL/ELT workflows
- Hands-on experience with cloud platforms such as AWS or GCP
- Experience working with retail datasets: transactions, supply chain, point-of-sale systems, etc.
- Strong experience with orchestration tools like Apache Airflow
- Solid programming skills in Python and SQL
- Ability to work collaboratively in cross-functional teams, with clear communication and a problem-solving mindset
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