Data Engineer

About the Role

We are looking for a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and AI-driven initiatives. You will work with modern columnar databases, design efficient ETL / ELT pipelines, and ensure the reliability and performance of our data ecosystem.

Responsibilities

• Design, develop, and maintain data pipelines (batch and streaming) to ingest, process, and transform large-scale datasets.
• Optimize query performance and storage efficiency in columnar databases (e.g., Snowflake, BigQuery, Redshift, ClickHouse).
• Write efficient SQL for data modeling, transformation, and analytics use cases.
• Collaborate with data analysts, scientists, and product teams to ensure data availability and reliability.
• Implement data quality checks, monitoring, and alerting across pipelines.
• Work with cloud platforms (AWS / GCP / Azure) and orchestration frameworks (Airflow, dbt, Dagster, etc.) to manage workflows.
• Contribute to data architecture design including partitioning, indexing, and schema evolution strategies.
• Ensure compliance with data governance, security, and privacy standards.

Requirements

Nice to Have