Senior Data Engineer – Google Cloud Platform- W2 Role

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

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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