Tech Stack

Description

As a Senior Data Engineer at Nearform, you will design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, and Spark. You'll collaborate with distributed teams to translate business requirements into efficient data solutions for clients like Lululemon and Starbucks.

Requirements

• 6+ years commercial experience at Senior Engineer level in data engineering
• Extensive hands-on experience with SQL, Python, and Spark
• Databricks experience
• Strong expertise in data warehousing (Snowflake, Redshift, BigQuery)
• Experience with cloud-based data solutions (AWS, Azure, GCP)

Responsibilities

• Design, build, and optimize data pipelines and ETL processes
• Develop and maintain data platforms and warehousing solutions
• Implement scalable data storage solutions ensuring high availability
• Enhance performance of data processing workflows
• Collaborate with data scientists and stakeholders to translate business needs