Description

You will design, build, and maintain scalable data infrastructure for collection, storage, transformation, and analysis. You own the lifecycle of data pipelines, models, and applications to ensure efficient and reliable workflows.

Responsibilities

• Design and implement data platforms, including data warehouses, lakes, and lakehouses for structured and unstructured data.
• Build and maintain reliable, scalable data pipelines and models to support complex data workflows.
• Develop analytical tools, algorithms, and scripts to automate data engineering tasks.
• Collaborate with business and technology stakeholders to define current and future data requirements.
• Monitor system performance and identify opportunities for optimization and improvement.

Required Skills

• 8+ years of experience in data engineering.
• Expertise in GCP data services: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL.
• Strong proficiency in Apache Airflow and PySpark.
• Experience with infrastructure as code using Terraform.
• Knowledge of CI/CD pipelines using Tekton.
• Solid understanding of PostgreSQL.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree