Senior GCP Data Engineer

🕒 June 27

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

KANINI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

KANINI is a global digital engineering and IT services firm that helps enterprises transform through product engineering, cloud enablement, data analytics & AI, intelligent automation, and ServiceNow solutions. It builds cloud-native applications, modernizes legacy systems, implements AI/ML and data platforms, and delivers managed outcomes via flexible engagement models for clients across healthcare, banking, energy, government and technology sectors.

📋 Description

• 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

🎯 Requirements

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

🏖️ Benefits

• Health insurance • Flexible work arrangements

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume