Senior Data Engineer

We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high‑performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud‑native data products that enable advanced reporting, analytics, and decision‑making across the organization.

Key Responsabilities

• Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting.
• Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models.
• Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code.
• Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability.
• Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms.
• Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance.
• Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards.

Required Skills and Experience

• 5+ years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems.
• Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses).
• Proven experience with Python and PySpark for scalable data processing in distributed environments.
• Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices.
• Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services.
• Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment.
• Proficiency with version control, CI/CD pipelines, and automated testing frameworks.
• Ability to troubleshoot and optimize performance across compute, storage, and processing layers.

Bonus Skills

• Experience with Infrastructure‑as‑Code (Terraform, Ansible, Chef).
• Knowledge of shell scripting.
• Experience in financial services or regulated environments