GCP Data Engineer

SWITS DIGITAL Private Limited

Greetings from Smart Work IT Services,

Role: Data Engineer

Location: Denver, CO (Remote)

Only W2 Candidates

Mandatory Skills - GCP - Java - Medalion

Job Summary

We are seeking a highly skilled 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-efficiency

Required 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
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 Google Cloud Storage (GCS)
Knowledge of version control systems (Git) and CI/CD practices
Strong understanding of GCP IAM and cloud security best practices

Preferred Qualifications

Experience working with large-scale enterprise data platforms
Knowledge of data warehousing and data lake concepts
Familiarity with real-time streaming frameworks
Experience in data governance and data quality frameworks

Exposure to Agile/Scrum methodologies

Apply

Vacancy posted 2 days ago

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