Sr. GCP Data Engineer (Job-ID 3301)

This is a remote position.

KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.

This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.

Key Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines on GCP

• Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing

• Build high-performance data transformations using Python and PySpark

• Develop and optimize complex SQL queries for analytical workloads

• Work extensively with BigQuery for large-scale data processing and performance tuning

• Develop and deploy pipelines using Cloud Dataflow

• Orchestrate workflows using Cloud Composer (Apache Airflow)

• Manage data storage and lifecycle using Google Cloud Storage (GCS)

• Implement version control and CI/CD pipelines using Git-based tools

• Ensure data security, governance, and access control using GCP IAM

• Optimize data solutions for performance, scalability, reliability, and cost-efficiencyRequired Skills & Experience

• Strong hands-on experience with Google Cloud Platform (GCP)

• Expertise in BigQuery (partitioning, clustering, query optimization)

• Proven experience implementing Medallion Data Architecture

• Strong programming skills in Python and PySpark

• Hands-on exposure on Java

• Advanced proficiency in SQL (complex joins, window functions, performance tuning)

• Hands-on experience with Cloud Dataflow

• Experience with Cloud Composer (Airflow) for orchestration

• Experience working with