Senior GCP Data Engineer
Fractal Analytics6 days ago
Pune, India +4 moreSenior
Responsibilities
- Develop batch and streaming data pipelines.
- Build complex data transformations.
- Implement and maintain ETL orchestration.
- Perform data migration activities.
- Develop and maintain data warehouses and data lakes.
- Research and resolve technical issues while adapting to new technologies.
Requirements
- 5–10 years of experience in data engineering.
- Mandatory experience with BigQuery, Composer/Airflow, GCS, Cloud SQL, Dataflow, Dataproc, and IAM.
- Proficiency in Python, SQL, and PySpark.
- Knowledge of database concepts, data modeling across RDBMS and NoSQL, OLTP and OLAP systems, and MPP architecture.
- Strong communication, coordination, research, problem-solving, learning, and adaptability skills.
- Google Cloud Professional Data Engineer certification is preferred.
- Experience with Datastream and Data Fusion ADK is optional.
- Familiarity with A2A, Conversational AI, Claude Code, GitHub Copilot, Gemini Code Assist, or Codex is optional.
Tech Stack
Categories
Data Engineering
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.