Data Engineer

About the role

We’re looking for a Data Engineer with 3–6 years of experience to design, build, and operate large-scale data platforms. You’ll develop high-performance batch and streaming pipelines, optimize distributed data processing systems, and contribute to the infrastructure that powers our AI and analytics products.

What you'll do

• Build and maintain scalable batch and streaming data pipelines using Apache Spark and distributed data technologies
• Design, develop, and optimize ETL workflows with a focus on reliability, performance, and data quality
• Develop efficient SQL queries, data models, and storage solutions across systems such as Bigquery, PostgreSQL, Elasticsearch, DuckDB, and cloud native data platforms
• Build and maintain workflow orchestration using Airflow (or similar schedulers)
• Monitor, troubleshoot, and optimize production data pipelines to ensure reliability and performance

What you need

• 3–6 yrs of experience
• SQL
• ETL
• Python
• Spark
• Airflow
• Hadoop
• Any graduate

Good to have

• AWS
• GCP
• Azure
• Data warehousing
• Kafka
• Snowflake