We are seeking an experienced Data Engineer with solid expertise in Google Cloud Platform (GCP), PySpark, and Data Product development. The ideal candidate should have hands-on experience designing and building scalable data pipelines, data lakes, and data products using GCP-native services. The candidate must be proficient in distributed data processing, cloud data engineering, and up-to-date data architectures.

Key Responsibilities
Design, develop, and maintain large-scale data pipelines using PySpark.
Build and deliver reusable Data Products for analytics, reporting, and business consumption.
Develop ETL/ELT processes on Google Cloud Platform (GCP).
Work with structured, semi-structured, and streaming data sources.
Design and implement data lake and lakehouse solutions.
Optimize Spark workloads for performance and cost efficiency.
Collaborate with business, architecture, and engineering teams to define data product requirements.
Implement data quality, governance, lineage, and monitoring frameworks.
Support CI/CD automation and DevOps practices for data engineering solutions.
Contribute to Data Mesh and up-to-date data platform initiatives.

📌 Senior Data Engineer Telangana
🏢 Lloyds Technology Centre
📍 Telangana