Senior Data Engineer (AWS, Snowflake, Python)

Role: Senior Data Engineer (AWS, Snowflake, Python)

Work type: Hybrid work model, 2 days/week onsite

Collaboration type : B2B (SRL) or CIM, Full-time engagement

Role Summary The Senior Data Engineer is responsible for ensuring the performance, reliability, and scalability of enterprise data platforms, with a strong focus on Snowflake optimization, data pipeline monitoring, troubleshooting, and automation. The role involves developing and improving data workflows using Python, SQL, Apache Airflow, and dbt, optimizing data processing and storage efficiency, supporting CI/CD practices, and contributing to data engineering best practices and architectural decisions within a global technology environment.

Responsibilities

• Monitor Snowflake health and performance
• Debug and resolve failures in data ingestion or transformation
• Support platform tenants with Snowflake and Apache Airflow-related queries
• Build and maintain an end-to-end testing framework to ensure platform changes don't impact tenant flows across ingestion, transformation and orchestration
• Tune queries and optimize data storage for speed and cost efficiency
• Automate manual steps using GitLab CI/CD pipelines
• Support the release process
• Document data architecture, pipeline processes and best practices
• Collaborate with the Snowflake team to research and adopt new tools or frameworks
• Mentor junior colleagues and support their skill development
• Contribute to architectural decisions around data engineering implementation and tooling

Mandatory skills

• 2–3 years of IT sourcing or procurement experience across hardware and software
• 5+ years of experience in data engineering
• Proficiency in SQL and Python for advanced query writing, optimization and automation
• Expertise in Snowflake, Databricks or Oracle
• Familiarity with AWS or Azure cloud services for data engineering
• Understanding of CI/CD pipelines using GitLab or similar tools
• Skills in Apache Airflow and dbt for workflow orchestration and data transformation
• English proficiency at B2 level or higher

Nice-to-have

• Knowledge of Terraform for infrastructure as code
• Familiarity with Kafka for event streaming and messaging