Sr Data Engineer (AWS | Multi-Cloud | Databricks)

About the role

We are looking for an experienced Senior Data Engineer with 5+ years of hands-on experience in designing, developing, and implementing scalable data engineering solutions across cloud platforms. The ideal candidate should have strong expertise in AWS as the primary cloud platform , along with working knowledge and exposure to data engineering services across Google Cloud Platform (GCP) and Microsoft Azure.

What you'll do

• Design, develop, and maintain scalable end-to-end data pipelines using AWS and Databricks
• Build and optimize batch and real-time data processing solutions using Apache Spark, PySpark, and SQL
• Design and implement modern data lake and lakehouse architectures using S3, Delta Lake, Apache Iceberg, and Databricks
• Work with AWS data engineering services for data ingestion, transformation, orchestration, storage, cataloging, and analytics
• Develop ETL/ELT workflows integrating structured, semi-structured, and unstructured data from multiple sources

What you need

• 5–9 years in data science & ai
• AWS
• Databricks
• SQL
• Python
• Spark
• GCP
• Any graduate

Good to have

• LLMs
• Kafka
• Terraform
• CI/CD
• Azure
• ETL