Senior GCP Data Engineer (Job-ID 3301)

Remote

Open 4 months, first seen by us 128 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
This is a remote position. KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) 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.
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Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

Design scalable data pipelines on GCP
Build robust enterprise-grade data solutions

From the employer’s posting

designing scalable data pipelines

building robust enterprise-grade data solutions

What you’ll bring

All qualifications

Preferred experience

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

Qualification wording

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

Apply at Kanini Software Solutions

Posting record

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Open 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 29, 2026128 days ago
Recorded sightings: 60
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 128

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Kanini Software Solutions is hiring

4 open jobs

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Python
SQL
BigQuery
GCP
Google Cloud Storage
Airflow
PySpark

Where the posting names them

- Strong programming skills in Python and PySpark - Hands-on exposure on Java - Advanced proficiency in SQL (complex joins, window functions, performance tuning)

- 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

- Proven experience implementing Medallion Data Architecture - Strong programming skills in Python and PySpark - Hands-on exposure on Java

- 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

- Hands-on exposure on Java - Advanced proficiency in SQL (complex joins, window functions, performance tuning) - Hands-on experience with Cloud Dataflow

KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) 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

- 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

- Strong hands-on experience with Google Cloud Platform (GCP) - Expertise in BigQuery (partitioning, clustering, query optimization) - Proven experience implementing Medallion Data Architecture

This is a remote position. KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) 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.

- 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

Required Skills & Experience - Strong hands-on experience with Google Cloud Platform (GCP) - Expertise in BigQuery (partitioning, clustering, query optimization)

- Experience with Cloud Composer (Airflow) for orchestration - Experience working with Google Cloud Storage (GCS) - Knowledge of version control systems (Git) and CI/CD practices

- Knowledge of version control systems (Git) and CI/CD practices - Strong understanding of GCP IAM and cloud security best practices Preferred Qualifications

- Develop and deploy pipelines using Cloud Dataflow - Orchestrate workflows using Cloud Composer (Apache Airflow) - Manage data storage and lifecycle using Google Cloud Storage (GCS)

- Hands-on experience with Cloud Dataflow - Experience with Cloud Composer (Airflow) for orchestration - Experience working with Google Cloud Storage (GCS)

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

This is a remote position.

KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) 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 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

Required Skills & Experience

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

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

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