Senior Data Engineer

About the role

The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable cloud-based data platforms and data pipelines. The role requires strong expertise in AWS, Snowflake, Databricks, Python, SQL, and PySpark, along with experience in batch and real-time data processing.

What you'll do

• Design, develop, and maintain scalable data pipelines and ETL/ELT frameworks
• Build and optimize batch and real-time streaming solutions using PySpark and cloud-native services
• Develop and manage enterprise data platforms using AWS, Snowflake, and Databricks
• Design and implement robust data models, data lakes, data warehouses, and lakehouse architectures
• Integrate data from multiple sources while ensuring data quality, governance, and security

What you need

• 5–8 years in data science & ai
• SQL
• Machine learning
• Python
• ETL
• AWS
• Snowflake
• Any graduate

Good to have

• MLOps
• Terraform
• Docker
• Kubernetes
• Databricks
• Spark