🛠 Tech Stack

💼 About This Role

You'll design and build large-scale data pipelines on Google Cloud Platform for innovative companies. You'll serve as a trusted advisor, handling ETL/ELT workflows and BigQuery migrations. You'll collaborate closely with customer teams to accelerate their cloud transformation journeys.

🎯 What You'll Do

• Design and optimize data pipelines using Apache Beam or Spark.
• Develop ETL/ELT workflows on GCP integrating diverse data sources.
• Migrate data warehouses to BigQuery addressing schema and performance.
• Implement monitoring, logging, and error-handling in pipelines.

📋 Requirements

• 4+ years as a Data Engineer in modern cloud environments.
• 2+ years hands-on GCP experience (BigQuery, Dataflow, Dataform, Composer, Dataproc, Pub/Sub).
• Proficiency in Python, SQL, and Apache Airflow.
• Experience with distributed data processing frameworks (Beam, Spark, or Flink).

✨ Nice to Have

• Experience with Snowflake or Databricks.
• Familiarity with CI/CD, MLOps, or data quality frameworks.

🎁 Benefits & Perks

• 🤝 Collaborative culture with fast-paced innovative companies.
• 🚀 Accelerated timelines and exposure to cutting-edge cloud tech.
• 🌟 Trusted advisor role with high impact on customer success.
• 💡 Professional growth with a team of former Google Cloud leaders.