Data Engineer Leader
hace 3 días
Company Overview
Darwoft is a leading organization in the retail sector, seeking an experienced Data Engineer to support key initiatives. The ideal candidate will possess strong hands-on expertise in Databricks and have a proven track record in data engineering.
Job Description
As a Data Engineer at Darwoft, you will be responsible for designing, developing, and optimizing data pipelines using Databricks to support large-scale data processing and analytics. You will collaborate with Tech Leads, Product Managers, and fellow Engineers to integrate and transform data from multiple sources (structured and unstructured).
You will develop and maintain high-quality, production-grade Databricks workflows to support analytics, reporting, and machine learning initiatives. Your solutions must be built with scalability, performance, and cost-efficiency in mind, tailored to retail-specific needs like sales, inventory, and customer behavior.
You will monitor and improve data quality, reliability, and observability across data systems. Additionally, you will drive best practices in data engineering, automation, and continuous improvement.
Required Skills and Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 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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