Senior Data Engineer in Bangalore, भारत

Responsibilities

• Own and operate critical data pipelines and infrastructure, including participation in the support rotation.
• Lead troubleshooting and resolution of complex pipeline and infrastructure issues.
• Manage the data onboarding lifecycle and integrate internal and external data sources.
• Develop and deploy scalable data solutions using Snowflake, dbt, Airflow, and Terraform.
• Advocate for modern technologies and best practices that improve data delivery and engineering efficiency.

Requirements

• Have 5+ years of software development experience, including at least 3+ years working on large-scale data systems.
• Demonstrate strong proficiency in SQL and Python for data pipeline development.
• Have hands-on experience building and operating cloud-based data pipelines, preferably in AWS.
• Have hands-on experience with Snowflake, dbt, and Terraform.
• Have experience with data ingestion, streaming, and event-driven architecture, such as Kafka, CDC, and Snowpipe.
• Understand data security, data privacy, and data modeling best practices.
• Preferred qualifications include Snowpark, Kubernetes, IAM-domain familiarity, and experience building API-driven applications with REST or gRPC.

Benefits

• Hybrid work arrangement with an immersive, in-person onboarding experience.
• Support for employee well-being, social impact initiatives, and talent development and community building.
• Global work community spanning more than 20 offices worldwide.