onsite
GCP Spanner Data Engineer - Prodapt Solutions
Data Engineer
Design, develop, and optimize data pipelines on Google Cloud Platform, focusing on Cloud Spanner and related services. Build scalable, high‑performance solutions using SQL, Python, and ETL best practices for telecom and technology clients.
About the role
Key Responsibilities
- Design and implement end‑to‑end data pipelines on GCP, leveraging Cloud Spanner, BigQuery, and Pub/Sub.
- Develop and maintain SQL scripts, stored procedures, and Python code for data ingestion, transformation, and validation.
- Optimize schema design, indexing, and query performance in Cloud Spanner to meet latency and scalability requirements.
- Collaborate with data architects, analysts, and product teams to translate business requirements into robust data solutions.
- Implement monitoring, alerting, and automated testing for data workflows to ensure reliability and data quality.
Requirements
- 3+ years of hands‑on experience with Google Cloud Platform services, especially Cloud Spanner and BigQuery.
- Strong proficiency in SQL and Python for data manipulation and pipeline development.
- Experience building and maintaining ETL/ELT pipelines using tools such as Dataflow, Apache Beam, or Cloud Composer.
- Solid understanding of relational database design, performance tuning, and distributed data architectures.
- Ability to work in an Agile environment and communicate technical concepts to cross‑functional teams.