Data Engineer

We hope you are good. We are hiring for Data Engineer to join our Digital Engineering team.

About Photon

Photon is a Digital Engineering and Digital Modernization company founded in 1999. We partner with leading global enterprises, including Fortune 500 organizations, to build and modernize digital platforms and experiences. Our teams work across AI, cloud-native technologies, and next-generation digital solutions.

Role Overview

We need an experienced Data Engineer to build and maintain reliable, scalable data pipelines and warehouse models on Snowflake. You will turn raw data from many sources into trusted datasets for analytics, reporting, and downstream applications.

Key Responsibilities

• Design, build, and operate batch and incremental data pipelines using Python and SQL.
• Develop and optimize data models and transformations in Snowflake.
• Write automation and operational scripts to orchestrate, monitor, and troubleshoot data workflows.
• Implement data quality checks, validation, lineage, and alerting.
• Tune query performance and manage warehouse cost and resource usage.
• Collaborate with analysts, data scientists, and application teams to understand requirements and deliver datasets.
• Document pipelines, schemas, and data contracts.

Required Qualifications

• 7+ years of experience in data engineering or a closely related field.
• Strong Python skills and experience with scripting languages (for example Bash).
• Advanced SQL, including complex joins, window functions, and performance tuning.
• Hands-on experience with Snowflake (warehouses, stages, tasks, streams, role-based access).
• Solid understanding of data warehousing, dimensional modelling, and ETL/ELT patterns.

Preferred Qualifications

• Experience with orchestration tools (for example Airflow) and transformation frameworks (for example dbt).
• Familiarity with AWS or GCP data services.
• Exposure to data governance, security, and privacy practices.