Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup 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: Unconfirmed

What you’ll work on

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

From the employer’s posting

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

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

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

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

Tools in this posting

Python
SQL
BigQuery
Google Cloud (GCP)
Airflow
PySpark
Java
Google Cloud Storage

Source

- 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)

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

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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Source & posting history

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Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Location not supplied.
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.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at kanini.zohorecruit.in ↗Read the full description ↓