Sr Data Engineer - 4

About the role

Design and implement data lakes and data warehouses using cloud platforms. Choose appropriate storage solutions (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage).

What you'll do

• Design cloud-native data/AI architecture
• Review and guide development on architectural patterns
• Ensure delivery alignment with business objectives
• Support client presentations and technical workshops
• Manage junior team members and mentor in solutioning

What you need

• 4–6 years in data science & ai
• AWS
• ETL
• Data warehousing
• Azure Data Factory
• Redshift
• BigQuery
• Any graduate

Good to have

• Kafka
• Spark
• Azure
• Terraform
• GCP