Staff Software Engineer (Data Platform)

About the role

Embark on a journey where your deep-rooted expertise in distributed systems, data architectures, and large-scale processing becomes the cornerstone of building high-performance data platforms. This pivotal role demands proficiency in designing and scaling compute and I/O-intensive data systems, ensuring reliability, efficiency, and cost optimization across the data lifecycle.

What you'll do

• Design and build scalable data platform components for batch and real-time data processing
• Architect, develop, and operationalize large-scale data systems across ingestion, transformation, and serving layers
• Build and manage robust data pipelines ensuring high reliability, scalability, and cost efficiency
• Develop reusable frameworks and tooling to accelerate productivity for data engineers and data scientists
• Leverage expertise in Python, Airflow, SQL, and cloud platforms to build production-grade data solutions

What you need

• 8–14 yrs of experience
• SQL
• Python
• ETL
• Airflow
• Data warehousing
• AWS
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Kafka
• Spark
• PostgreSQL
• GCP
• Cassandra
• Elasticsearch