Overview:

We’re seeking a Data Engineer with expertise in building robust, scalable cloud-based data pipelines. You’ll play a key role in transforming raw data into meaningful insights across the organization.

Responsibilities:

• Design and implement cloud-native data pipelines using Spark, Kafka, and cloud services
• Build ETL workflows to ingest and process structured and unstructured data
• Work closely with Data Scientists and Analysts to enable self-serve analytics
• Optimize performance, reliability, and scalability of big data platforms

Requirements:

• BS/MS in Computer Science, Engineering, or a related field
• 3+ years of experience with Python, SQL, and distributed systems
• Hands-on experience with AWS (Glue, Redshift, S3), GCP, or Azure
• Proficiency in Apache Spark, Airflow, and Kafka
• Experience with data modeling, data warehousing, and pipeline orchestration