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Pune metro and popular Data Engineer title with broad requirements raise competition moderately.
Core data engineering and GCP skills are transferable across industries but require cloud-specific expertise.
Explicit 8–12 years plus mandatory GCP, dbt, and Python skills create strict screening filters.
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Lead design and development of end-to-end data delivery processes and scalable data pipelines on GCP, including real-time and batch streaming.
Mentor the data engineering team, translating stakeholder requirements into unified, high-quality data products.
Continuously improve data pipeline efficiency, data quality, and documentation practices to meet business and system requirements.
8-12 years of professional experience in data engineering.
Strong expertise in Google Cloud Platform services including Cloud Run, BigQuery, Cloud SQL (PostgreSQL), Cloud Spanner, Cloud Storage, Managed Airflow (Cloud Composer), Pub/Sub, Eventarc, IAM, Artifact Registry, Monitoring & Alerting, Secret Manager, Vertex AI, and Networking.
Proficient in Python programming and data transformation tool dbt.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Software Engineering, or related technical field.
Experienced in architecting cloud-based data pipelines and complex data modelling to support scalable data products.
Strong analytical and problem-solving skills demonstrated by tackling complex data challenges and optimizing pipelines.
Comfortable working in a globally distributed team environment and mentoring others, with clear communication in English.