Description

You will design, develop, and maintain ETL pipelines for ingesting and transforming structured and unstructured data.

This role is remote.

Responsibilities

• Build and optimize data workflows using Google Cloud services including BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Implement data quality, validation, and governance frameworks across multiple data sources.
• Monitor pipeline performance and reliability, troubleshooting issues proactively.
• Collaborate with data engineers and product teams to align data workflows with business goals.
• Automate deployment and manage CI/CD pipelines for data workflows with DevOps teams.

Required Skills

• 3–6 years of experience in ETL development or data engineering.
• Strong proficiency in SQL and Python.
• Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer).
• Experience with ETL/ELT tools such as Apache Beam, Airflow, or DBT.
• Knowledge of data modeling, data lake/warehouse design, and schema optimization.
• Experience with Terraform or Infrastructure as Code in GCP.
• Understanding of API integrations, streaming data, and batch processing frameworks.

Preferred Skills

• Exposure to machine learning data pipelines or analytics engineering.
• Google Cloud Data Engineer certification or equivalent.

Key Skills

Education

Bachelor's degree