Data Engineer

📋 Description

• Own data architecture end-to-end for critical business data.
• Build and operate streaming and batch pipelines across domains.
• Design domain-oriented canonical data models for analytics and ML.
• Enforce data quality with tests, lineage, monitoring, and reconciliation.
• Automate operational workflows across services and warehouses.
• Enable insights via semantic layers, APIs, and real-time queries.

🎯 Requirements

• 3+ years as a data or software engineer building data warehouses or distributed systems.
• Design and implement data models using dimensional, Data Vault, or ledger-style techniques.
• Hands-on with Kafka, Debezium; dbt, Spark, Flink; Dagster, Airflow.
• Operated cloud data warehouses (Snowflake, BigQuery, Redshift) incl. schema design and cost optimization.
• Proficient in Python/SQL; CI/CD and infrastructure-as-code.
• Collaborate across engineering, product, analytics to translate needs into data systems.

🎁 Benefits

• Generous Holiday and Time off Policy
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• Home office setup allowance
• Monthly allowance for cell phone and internet
• Parental Leave and family planning benefits