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Data Architect with JAVA

Remote • Posted 6 hours ago • Updated 6 hours ago

Contract W2

8 Months

No Travel Required

Remote

$60 - $65/hr

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

GCS
Data Governance
Google Cloud
Google Cloud Platform
PySpark
Python
Data Flow
Data Lake
Java
SQL
Data Warehouse
Data Security
Data Architecture
j2ee
springboot
microservices
java lead
java developer
Cloud Security
Cloud Computing
Medallion
Medallion Data Architecture
Storage
Data Storage
Data Quality
BigQuery
Workflow

Summary

Job Title: Sr. Data Engineer With Google Cloud Platform

Location: Denver, CO (Remote)

Duration: Contract/Fulltime - W2 only

Job Description:

KANINI is seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (Google Cloud Platform) 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 Google Cloud Platform
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 Google Cloud Platform IAM
Optimize data solutions for performance, scalability, reliability, and cost-efficiency

Required Skills & Experience

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10217051
Position Id: 8986182
Posted 6 hours ago

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