Senior Data Engineer – Google Cloud Platform
Location: Denver, CO (Remote)
Employment Type: W2 / Full-Time
Job Summary
KANINI is seeking an experienced Senior Data Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform) and Java-based Cloud Dataflow development. The ideal candidate will have hands-on experience building high-performance batch and streaming data pipelines using Apache Beam with Java, along with expertise in BigQuery, GCS, Cloud Composer, and modern data architecture.
This role requires a strong background in designing scalable enterprise data platforms, implementing Medallion Architecture, optimizing large-scale data processing, and delivering reliable ETL/ELT solutions on Google Cloud Platform.
Key Responsibilities
· Design, develop, and maintain scalable batch and streaming data pipelines using Google Cloud Dataflow with Java (Apache Beam).
· Build reusable, high-performance data processing frameworks using Java.
· Develop enterprise-grade ETL/ELT pipelines on Google Cloud Platform.
· Design and implement Medallion Architecture (Bronze, Silver, Gold) for modern data lake solutions.
· Develop and optimize analytical datasets using BigQuery.
· Write efficient SQL queries and optimize query performance for large datasets.
· Orchestrate workflows using Cloud Composer (Apache Airflow).
· Manage data storage and lifecycle using Google Cloud Storage (GCS).
· Implement CI/CD pipelines using Git and modern DevOps practices.
· Apply Google Cloud Platform IAM best practices for security and governance.
· Monitor, troubleshoot, and optimize Dataflow jobs for performance, scalability, and cost efficiency.
Required Skills & Experience
Mandatory Skills
· Strong hands-on experience with Java-based Google Cloud Dataflow (Apache Beam) – Must Have
· Strong programming experience in Java
· Hands-on experience with Apache Beam SDK
· Extensive experience with Google Cloud Platform (Google Cloud Platform)
· Strong expertise in BigQuery
· Experience building enterprise ETL/ELT pipelines
· Advanced SQL skills including query optimization
· Experience implementing Medallion Architecture
· Experience with Google Cloud Storage (GCS)
· Experience with Cloud Composer (Apache Airflow)
· Knowledge of CI/CD pipelines and Git
· Strong understanding of Google Cloud Platform IAM and cloud security
Skill Years Of Exp
Google Cloud Platform (Google Cloud Platform)
BigQuery
Medallion Architecture
Google Cloud Storage (GCS)
CI/CD Pipelines
Google Cloud Platform IAM
ETL/ELT Pipelines
Query & Pipeline Optimization
Java Data Flow (Mandatory)
Apache Beam
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