Data Engineer

📋 Description

• Design, build, and deploy cloud-native data pipelines and platforms powering marketing analytics.
• Collaborate with senior engineers, data scientists, and strategists on scalable data solutions.
• Work on public cloud platforms such as GCP, AWS, or Azure.
• Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or
• Contribute to data models using dbt or Dataform for analytics-ready datasets.
• Explore GenAI-powered tools to accelerate engineering workflows and client solutions.

🎯 Requirements

• Bachelor’s or Master’s in a quantitative/technical field (CS, Software/Data Engineering, etc.).
• 1+ years of experience in data engineering, analytics engineering, or related field.
• Strong proficiency in SQL and Python.
• Familiarity with designing and deploying cloud solutions on GCP or AWS.
• Experience with modern data stack tools (dbt, BigQuery, Snowflake, or similar).
• Fluent English communication and ability to work independently and in a team.

🎁 Benefits

• Opportunity to work on GenAI-powered projects and innovative data solutions.
• Collaborative, data-driven team culture with growth potential.