Remote Lead data engineer – python & gcp Jobs – 61 Open Jobs Today

Lead Data Engineer – Python & GCP
Technology Next —Remote
- ₹80,000.00 - ₹18,68,633.59 a month
- Full-time
- Remote
- Master's degree
- APIs
- AI
Quick apply
10h
Lead Data Engineer – Python & GCP
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- ₹70,000 - ₹90,000 a month
- Full-time
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- Master's degree
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Quick apply
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- Email
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Snowflake Data Engineer
CloudAims Infotech —Remote
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Fusemachines —Remote
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Expertshub.ai —Remote
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Senior DevOps Engineer Automation/Configuration Management
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Senior AIOps Engineer I
Porch Group Media —Remote
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DevOps Engineer
WIN Home Inspection —Remote
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Senior AIOps Engineer I
Porch —Remote
- ₹24,75,000 - ₹34,65,000 a year
- Full-time
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Product Manager
StatValu Private Limited —Remote
- ₹6,00,000 - ₹8,00,000 a year
- Full-time
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- Azure
- Computer Science
- PMP
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Lead Data Engineer – Python & GCP

Technology Next -
Remote

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Job details

Full-time | Contractual / Temporary
₹80,000.00 - ₹18,68,633.59 a month
10 hours ago

Qualifications

Cloud architecture
Law
Kubernetes
Spark
Google Cloud Platform
MongoDB
Master's degree
Microservices
Distributed systems
Redis
APIs
ETL
Kafka
AI
Python
Identity & access management

Full job description

Hiring: Lead Data Engineer – Python & GCP

Location: Remote
Employment Type: Contract
Experience: 10+ Years

About the Role

We are looking for a highly experienced Lead Data Engineer with deep expertise in Python, Google Cloud Platform (GCP), Data Engineering, and Solution Architecture. This role requires a strong technical leader who can engage directly with customers, gather requirements, architect enterprise-scale solutions, and drive end-to-end delivery of modern data platforms.

The ideal candidate should have hands-on experience building scalable ETL/ELT pipelines, real-time data processing frameworks, cloud-native architectures, and modern analytics ecosystems on GCP.

Key Responsibilities

Lead requirements gathering, solution design, architecture, and delivery of enterprise data engineering solutions.
Design, develop, and maintain scalable ETL/ELT pipelines using Python.
Architect cloud-native data platforms leveraging GCP services and modern data engineering frameworks.
Build real-time and batch data processing solutions using Dataflow, Spark, Kafka, and BigQuery.
Design secure and scalable architectures involving GKE, Cloud Run, Load Balancers, API Management, and multi-cloud integrations.
Implement data quality, governance, security, DLP, and sensitive data redaction strategies.
Collaborate with business stakeholders, architects, and engineering teams to deliver high-impact data solutions.
Provide technical leadership, mentoring, and post-production support.

Required SkillsData Engineering & Architecture

Python (Expert Level)
ETL / ELT Pipeline Development
Data Modeling & Data Warehousing
Enterprise Solution Architecture
Real-time Data Processing

Google Cloud Platform (GCP)

BigQuery
Dataflow
Cloud Composer (Airflow)
Cloud Functions
Cloud Run
Google Cloud Storage (GCS)
IAM
GKE (Google Kubernetes Engine)

Data & Integration Technologies

Apache Spark
Apache Kafka
FastAPI
Airflow
MongoDB
Redis / Bigtable
API Integration & Microservices

Advanced & Preferred Skills

DBT
APIGEE
Multi-Cloud Architecture
LLM/Generative AI Integration
Data Loss Prevention (DLP)
Kubernetes & Containerization
Auto-scaling & High Availability Architectures

What We're Looking For

✔ 10+ years of experience in Data Engineering and Cloud Solutions
✔ Strong expertise in Python and GCP ecosystem
✔ Proven experience architecting enterprise-scale data platforms
✔ Experience working directly with clients and stakeholders
✔ Strong understanding of distributed systems, streaming platforms, and cloud-native architectures
✔ Ability to lead technical discussions, solution design, and delivery teams

Pay: ₹80,000.00 - ₹1,868,633.59 per month

Experience:

Hiring: Lead Data Engineer – Python & GCP: 10 years (Required)

Work Location: Remote

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