Data Engineer

Job Summary

A company is looking for a Data Engineer to help build and scale its modern data platform.

Key Responsibilities

• Build and maintain scalable data pipelines (batch and streaming) using tools like Databricks, Spark, Kafka, and AWS services
• Design, develop, and optimize ETL/ELT workflows using DBT, PySpark, and SQL
• Monitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality

Qualifications

• 6+ years of experience in data engineering or a related field
• Strong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka
• Proficiency in Python (PySpark) and SQL for large-scale data processing
• Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)
• Familiarity with reverse ETL/data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze