Data Engineer (Snowflake / Databricks / BigQuery)

About the role

We are seeking an experienced Data Engineer to design, build, and optimize high-throughput data architectures and transformation pipelines. The ideal candidate will orchestrate scalable ELT/ETL processes, manage massive relational database models, optimize query workloads within enterprise cloud data lakes, and deliver clean, structured data layers to power downstream business intelligence and data science models.

What you'll do

• Design and engineer highly scalable data ingestion pipelines to aggregate structured, semi-structured
• Develop complex ELT/ETL data transformation models using Python, SQL, and processing frameworks (e.g., dbt, Apache Spark , PySpark )
• Architect and optimize enterprise cloud data platforms , designing optimized schemas, clustering keys, partition strategies, and storage parameters in Snowflake
• Implement automated data orchestration pipelines , configuring workflow schedules, error-handling paths, and dependency graphs using tools like Apache Airflow
• Establish strict data quality and validation gates , writing automated scripts to monitor data latency, validate structural constraints, check row balances

What you need

• 5–9 yrs of experience
• Snowflake
• Databricks
• BigQuery
• SQL
• Python
• Data modelling
• Any graduate

Good to have

• Data warehousing
• AWS
• Kafka
• GCP
• ETL
• Spark