Senior Data Engineer

📋 Description

• Design, build, and optimize large-scale distributed data pipelines with Beam/Dataflow, Spark, or Flink.
• Develop ETL/ELT workflows on GCP with multiple data sources.
• Address schema, type conversion, and performance when migrating warehouses to BigQuery.
• Implement observability, monitoring, logging, and error handling in pipelines.
• Collaborate with Data Analysts to integrate validation rules, QA checks, and automated testing.
• Support large-scale data migrations and performance tuning for high-volume workloads.

🎯 Requirements

• 4+ years as Data Engineer in modern cloud environments.
• 2+ years hands-on GCP (BigQuery, Dataflow, Dataform, Composer, Dataproc, Pub/Sub).
• Strong experience with distributed data processing frameworks (Beam, Spark, Flink).
• Proficiency in Python for pipelines.
• Proficiency in SQL (Oracle + BigQuery dialects ideal).
• Experience with Apache Airflow (orchestration).
• Big data workloads, batch/streaming pipelines, large-scale migrations.
• CI/CD, MLOps, or data quality frameworks advantage.

🎁 Benefits

• Fully remote company with global teams.
• Competitive compensation and benefits.
• Inclusive, equal-opportunity employer.
• Opportunity to work with Google Cloud data stack.