Description review
Sr. GCP Data Engineer (Job-ID 3301)
KANINI · United States · back to the listing
HR standards
59/100
needs work
Title ↔ description
95/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
Startups
- Senior Data Engineer Camber
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
- Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
- DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- 27 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
This is a remote position.
KANINIis seeking a highly skilledSenior Data Engineerwith deep expertise inGoogle Cloud Platform (GCP)and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementingMedallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency inBigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
• Design, develop, and maintainscalable batch and real-time data pipelineson GCP
• Implement and manageMedallion Architecture (Bronze, Silver, Gold layers)for data processing
• Build high-performance data transformations usingPython and PySpark
• Develop and optimizecomplex SQL queriesfor analytical workloads
• Work extensively withBigQueryfor large-scale data processing and performance tuning
• Develop and deploy pipelines usingCloud Dataflow
• Orchestrate workflows usingCloud Composer (Apache Airflow)
• Manage data storage and lifecycle usingGoogle Cloud Storage (GCS)
• Implementversion control and CI/CD pipelinesusing Git-based tools
• Ensuredata security, governance, and access controlusing GCP IAM
• Optimize data solutions forperformance, scalability, reliability, and cost-efficiency
Required Skills & Experience
• Strong hands-on experience withGoogle Cloud Platform (GCP)
• Expertise inBigQuery(partitioning, clustering, query optimization)
• Proven experience implementingMedallion Data Architecture
• Strong programming skills inPython and PySpark
• Hands-on exposure on Java
• Advanced proficiency inSQL (complex joins, window functions, performance tuning)
• Hands-on experience withCloud Dataflow
• Experience withCloud Composer (Airflow)for orchestration
• Experience working withGoogle Cloud Storage (GCS)
• Knowledge ofversion control systems (Git)and CI/CD practices
• Strong understanding ofGCP IAM and cloud security best practices
Preferred Qualifications
• Experience working withlarge-scale enterprise data platforms
• Knowledge ofdata warehousing and data lake concepts
• Familiarity withreal-time streaming frameworks
• Experience indata governance and data quality frameworks
• Exposure to
Originally posted on Himalayas
KANINIis seeking a highly skilledSenior Data Engineerwith deep expertise inGoogle Cloud Platform (GCP)and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementingMedallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency inBigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
• Design, develop, and maintainscalable batch and real-time data pipelineson GCP
• Implement and manageMedallion Architecture (Bronze, Silver, Gold layers)for data processing
• Build high-performance data transformations usingPython and PySpark
• Develop and optimizecomplex SQL queriesfor analytical workloads
• Work extensively withBigQueryfor large-scale data processing and performance tuning
• Develop and deploy pipelines usingCloud Dataflow
• Orchestrate workflows usingCloud Composer (Apache Airflow)
• Manage data storage and lifecycle usingGoogle Cloud Storage (GCS)
• Implementversion control and CI/CD pipelinesusing Git-based tools
• Ensuredata security, governance, and access controlusing GCP IAM
• Optimize data solutions forperformance, scalability, reliability, and cost-efficiency
Required Skills & Experience
• Strong hands-on experience withGoogle Cloud Platform (GCP)
• Expertise inBigQuery(partitioning, clustering, query optimization)
• Proven experience implementingMedallion Data Architecture
• Strong programming skills inPython and PySpark
• Hands-on exposure on Java
• Advanced proficiency inSQL (complex joins, window functions, performance tuning)
• Hands-on experience withCloud Dataflow
• Experience withCloud Composer (Airflow)for orchestration
• Experience working withGoogle Cloud Storage (GCS)
• Knowledge ofversion control systems (Git)and CI/CD practices
• Strong understanding ofGCP IAM and cloud security best practices
Preferred Qualifications
• Experience working withlarge-scale enterprise data platforms
• Knowledge ofdata warehousing and data lake concepts
• Familiarity withreal-time streaming frameworks
• Experience indata governance and data quality frameworks
• Exposure to
Originally posted on Himalayas