Data & Analytics Engineer

📋 Description

• Own dashboard delivery from development to production, with metrics and releases.
• Build and maintain batch and streaming ETL pipelines on cloud platforms.
• Develop, optimize, and troubleshoot SQL queries in data warehouses.
• Support near-real-time data ingestion and data movement across systems.
• Collaborate with cross-functional teams to translate requirements into data models.
• Ensure data accuracy, governance, and reliability across sources.

🎯 Requirements

• 3-4 years of experience in data/analytics engineering or related field.
• Strong SQL skills, preferably with Redshift or similar.
• Python and PySpark for data processing.
• Hands-on experience with AWS data services: S3, Glue, Redshift, CloudWatch.
• Experience with Apache Airflow DAGs for workflows.
• Strong data modeling and warehousing concepts.

🎁 Benefits

• Fully remote work environment.
• Full-time employment opportunity.
• Work on modern cloud-based data platforms and analytics solutions.
• Exposure to large-scale data engineering challenges and customer-facing products.
• Collaborative environment with cross-functional teams.
• Opportunities for professional growth and continuous learning.