About Position:

We are seeking a skilled GCP Data Engineer with 3 to 5 years of experience in designing, developing, and maintaining scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in cloud-native data engineering, ETL/ELT pipeline development, Python programming, and data warehousing technologies. You will play a key role in building reliable and efficient data platforms that support analytics, reporting, and business intelligence initiatives. Working closely with data analysts, data scientists, and cross-functional teams, you will help deliver scalable, high-quality, and secure data solutions.
- Role: Data Engineer
- Location: All Persistent Locations
- Experience: 3 to 5 Years
- Job Type: Full Time Employment

What You'll Do:
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP).
- Implement batch and streaming data ingestion frameworks using GCP services such as Dataflow, Dataproc, Pub/Sub, and Composer.
- Build, manage,



and optimize cloud-based data warehouses and data lakes using BigQuery and Cloud Storage.
- Develop effective Python-based data processing, transformation, and automation solutions.
- Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
- Extract, transform, and load data from multiple sources including APIs, databases, flat files, and streaming platforms.
- Work with structured, semi-structured, and unstructured datasets to support business requirements.
- Ensure data quality, integrity, governance, and compliance across all data pipelines and platforms.
- Collaborate with data analysts, data scientists, architects, and business stakeholders to deliver data-driven solutions.
- Troubleshoot and resolve data pipeline performance issues and production incidents.
- Document data workflows, schemas, architectures, and processes to ensure maintainability and knowledge sharing.
- Participate in code reviews and contribute

📌 GCP Data Solutions Developer (India)
🏢 Persistent Systems
📍 India