GCP-Certified Data Engineer

Kaizen Analytix is a provider of analytics products and business insights solutions, enabling clients to increase revenues, reduce costs, and maximize margins through actionable data-driven strategies. [1, 2, 13]

Kaizen Analytix

Employee count: 51-200

United States only

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Job Title: GCP-Certified Data Engineer

Location: New York
Job Type: Hybrid (3 days in office)
Experience Level: Senior (5+ Years)

We are seeking a GCP-Certified Data Engineer with 5+ years of hands-on experience in cloud data engineering, ideally with direct experience migrating from Snowflake to BigQuery. This role is key to modernizing and scaling our data infrastructure, ensuring robust data ingestion, transformation, and performance optimization using Google Cloud’s native tools.

Key Responsibilities:

Design, develop, and optimize scalable ETL/ELT pipelines using Apache Beam (Dataflow) and Pub/Sub
Orchestrate complex data workflows using Cloud Composer (Apache Airflow)
Lead or support large-scale data migrations from AWS/Snowflake to BigQuery, including schema mapping and performance tuning
Enhance BigQuery performance through strategic use of partitioning, clustering, and effective resource management
Implement rigorous data quality frameworks, validation checks, and ensure pipeline observability and monitoring
Partner with analytics, product, and business teams to understand data needs and deliver timely, reliable data solutions

Required Skills and Experience:

GCP Certified (Professional Data Engineer preferred)
5+ years of experience in cloud data engineering, including real-time and batch processing
Strong proficiency in Python and SQL
Deep understanding of BigQuery, Dataflow, Pub/Sub, and Cloud Storage
Experience with Cloud Composer (Airflow) for orchestration
Prior experience with ETL/ELT migrations, particularly from Snowflake to GCP
Proven track record in performance optimization and managing large datasets (structured & semi-structured)
Familiarity with Terraform or Infrastructure as Code (IaC)
Experience with CI/CD for data pipelines
Knowledge of AWS services and multi-cloud data strategies

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About the job

Apply before

Jul 22, 2025

Posted on

May 23, 2025

Job type

Full Time

Experience level

Mid-level

Location requirements

United States

Hiring timezones

United States +/- 0 hours

About Kaizen Analytix

Learn more about Kaizen Analytix and their company culture.

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Many businesses today find themselves overwhelmed by vast amounts of data, struggling to extract meaningful insights that can drive real business value. They face challenges in understanding what happened, why it happened, and most importantly, how to leverage this knowledge to predict and improve future performance. This is where Kaizen Analytix steps in. Our customers are often looking for ways to increase revenues, reduce operational costs, and maximize their margins, but they may lack the specialized expertise or tools to effectively turn their data into actionable strategies. They need a partner who can help them navigate the complexities of data analytics and deliver results quickly.

At Kaizen Analytix, we understand that analytics is more than just numbers; it's about uncovering the story behind the data. [2, 27] We provide analytics products and business insights solutions designed to give our clients unmatched speed to these critical outcomes. [2, 13] We work closely with companies across various industries, from sales and marketing to operations and finance, to rapidly generate actionable insights. [1, 2] Our approach involves combining our pre-built Kaizen ValueAccelerators™ and data from KaizenDataLabs™ with deep subject matter expertise. [2, 13] This allows us to help businesses not only understand past and current events but also to forecast future outcomes and prescribe the best actions to take. Whether it's optimizing pricing strategies, enhancing customer engagement, streamlining operations, or transforming financial processes, our goal is to empower our clients to make faster, more informed decisions and achieve continuous improvement, helping them find their 'Zen' through data-driven harmony. [2, 8, 27]

Tech stack

Learn about the tools and technologies that Kaizen Analytix uses to build, market, and sell its products.

View tech stack

Python

MATLAB

SQL

Snowflake

Tableau

SAS

Microsoft Azure

MySQL

Oracle

React

Kaizen Analytix employees can create an account to update this tech stack.

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