Senior Data Engineer (Snowflake)

Project Description:

Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Team is responsible for managing a secure, scalable, and highly available cloud platform built on AWS, Azure, and Snowflake. Our mission is to deliver a strategic Common Data and Reporting solution for clients, members, and regulators by consolidating multiple data sources into a centralized reporting data store.

This role offers the opportunity to work on cutting-edge cloud technologies and contribute to building a platform that transforms how data is leveraged across the business.

Responsibilities:

• Design, build, and optimize scalable data pipelines using Python, SQL, DBT, and Apache Airflow
• Develop and manage DBT models and ensure reliable workflow orchestration in Airflow
• Monitor and maintain Snowflake platform performance, availability, and cost efficiency
• Troubleshoot and resolve issues across data ingestion, transformation, and pipelines
• Implement and maintain end-to-end data quality testing and validation frameworks
• Automate deployments and workflows using GitLab CI/CD and support release processes
• Provide support to users and collaborate with teams on Snowflake, Airflow, and data solutions
• Document architecture and best practices while contributing to technical design, mentoring, and continuous improvement
• Release management till production

Mandatory Skills Description:

• 7+ years of proven experience as a Data Engineer
• Hands-on experience with Snowflake (preferred) or Databricks
• Experience with cloud platforms – AWS EC 2 and S3 (preferred) or Azure
• Strong Python - experience in data processing and automation
• Basic CI/CD knowledge (GitLab or similar) - understanding of deployment pipelines
• Apache Airflow - workflow orchestration
• Strong SQL - advanced query writing and optimization skills

Nice-to-Have Skills Description:

• Terraform - infrastructure as code
• Data Build Tool - data transformation and modeling
• Kafka - event streaming and messaging
• Experience with DBT (data modeling and transformation)
• Oracle