Remote Lead security engineer (cloud security & architecture) Jobs – 133 Open Jobs Today

Data Engineer (Lead)
solve IT consultant —Remote
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Azure
- SQL
- AWS
Quick apply
8d
Senior Software Engineer / Tech Lead
InOpTra Digital —Remote
- Full-time
- Remote
- Oracle
- Computer Science
- Master's degree
AI Engineer
Data PlatformExperts —Remote
- ₹5,00,000 - ₹20,00,000 a year
- Full-time
- Remote
- Hospitality
- Azure
- Master's degree
- Work from home
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Staff Systems Engineer- Infrastructure (Employer of Record)
Credit Acceptance —Remote
- ₹34,17,563 - ₹50,12,426 a year
- Full-time
- Remote
- Management
- Computer Science
- Windows
Senior L3 Systems & Network Engineer (Healthcare Infrastructure & Disaster Recovery)
IBRIDGE DIGITAL —Remote
- Part-time
- Remote
- HIPAA
Quick apply
Databricks Architect/Engineer
Stratologon —Remote
- Remote
- Computer Science
- Master's degree
- AWS
Technical Lead
Professional Reimbursement Managers —Remote
- ₹9,50,301.17 - ₹22,39,025.43 a year
- Full-time
- Remote
- Azure
- System design
- English
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Automation Lead
AxisMaxlife —Remote
- Remote
- Azure
- AI
- Communication skills
SCCM L3 Engineer
Atidan Technologies —Remote
- Remote
- Microsoft Access
- Azure
- Windows
API Engineer
AABM Cloud Data Solutions —Remote
- ₹10,00,000 - ₹20,00,000 a year
- Full-time
- Remote
- Azure
- DevOps
- APIs
Quick apply
1d
Principal Software Engineer/ Architect- AI
Avalara —Remote
- Remote
- Computer Science
- DevOps
- AWS
- Health insurance
- Paid time off
PS Consultant
Trantor Software Pvt. Ltd —Remote
- ₹35,00,000 - ₹40,00,000 a year
- Full-time
- Remote
- Azure
- AWS
- Computer networking
Quick apply
1d
Lead Software Engineer
Cotiviti —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
(US) Senior Technical Lead - Fullstack (EST Timezone)
Codvo.ai —Remote
- Remote
- JavaScript
- APIs
- Agile
IT Systems Engineer
Porch —Remote
- ₹10,68,800 - ₹14,96,300 a year
- Full-time
- Remote
- Azure
- Computer Science
- Software troubleshooting
- Paid holidays
- Health insurance
10d
Principle Cloud Architect
FuGenEd ( Creating Opportunities For Deserving) —Remote
- ₹1,30,000 - ₹1,50,000 a month
- Full-time
- Remote
- DevOps
- SQL
- Scripting
Quick apply
Solutions Engineer
NetApp —Remote
- Remote
- Azure
- Computer Science
- Engineering
- Paid time off
Lead GCP Data Engineer
Kasmoprav —Remote
- ₹70,000 - ₹80,000 a month
- Remote
- SQL
- Scripting
- AI
Quick apply
10d
Machine Learning Engineer V
Avalara —Remote
- Remote
- Computer Science
- B.Sc
- Research
- Health insurance
- Paid time off
Technical Lead, Software Engineering
3Pillar —Remote
- Full-time
- Remote
- Azure
- English
- Software development

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Data Engineer (Lead)

solve IT consultant
Remote

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Job details

Full-time
₹15,00,000 - ₹18,00,000 a year
8 days ago

Qualifications

CI/CD
Azure
Business intelligence
Big data
Spark
System architecture
Git
SQL
Pandas
AWS
Machine learning
PostgreSQL
Distributed systems
Continuous integration
Azure Certification
Scripting
APIs
ETL
S3
Apache
Kafka
Redshift
Data warehouse
Python

Full job description

Job Title- Lead Data Engineer (Databricks)
Location – Gurugram/Chennai India (Onsite- 5 days/week)
Employment Type – Fulltime

Role Overview

We are seeking a highly experienced and motivated Principal / Lead Data Engineer to join our dynamic data platform team in either our Gurgaon or Chennai office. The successful candidate will be a critical player in designing, building, and optimizing our next-generation data architecture and pipelines.

This role requires expert-level proficiency in PySpark and SQL, alongside a proven track record of architecting scalable, high-performance ETL/ELT processes. You will transform vast amounts of raw data into high-quality, actionable insights for analytics, reporting, and Machine Learning. Given the seniority of this role, we are looking for a seasoned leader and immediate joiner who can hit the ground running and contribute significantly from day one.

Key Responsibilities

Data Pipeline Development & Optimization

Design and Build: Architect, develop, and maintain robust, scalable, and fault-tolerant ETL/ELT pipelines for ingesting data from diverse sources (e.g., databases, APIs, streaming sources) into our data lake and data warehouse.
PySpark Expertise: Write and optimize complex data transformation jobs using PySpark and the Spark DataFrame API to process petabytes of structured and unstructured data efficiently.
SQL Mastery: Utilize Advanced SQL for complex querying, data manipulation, stored procedures, performance tuning, and optimizing database schema design in relational and analytical databases.
Data Quality & Governance: Implement data validation, cleansing, and monitoring routines to ensure high data quality, integrity, and adherence to security and governance standards.

Architecture and Infrastructure

Data Modeling: Design and implement optimal data models (e.g., Dimensional Modeling, Data Vault, Snowflake Schema) for our data warehouse to support business intelligence and analytical needs.
Cloud Integration: Drive cloud-native data solutions primarily leveraging Azure Databricks, Azure Data Lake, and Synapse (or comparable frameworks like AWS S3/Redshift and Google BigQuery) to build and deploy data solutions.
Automation: Implement orchestration tools like Apache Airflow, Azure Data Factory, or AWS Step Functions to automate data workflows and manage pipeline dependencies.

Collaboration and Operational Excellence

Cross-Functional Leadership: Collaborate closely with Data Scientists, Data Analysts, Product Managers, and Business Stakeholders to understand data requirements and translate them into high-level technical specifications.
Monitoring & Support: Monitor, troubleshoot, and resolve critical issues in production data pipelines, ensuring maximum uptime and timely data delivery.
Best Practices & Mentorship: Lead code reviews, enforce strict coding standards, mentor junior engineers, and contribute to the continuous improvement of development and deployment practices (CI/CD, Git).

Required Technical Skills (Mandatory)

Certification: Active Azure Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional).
PySpark: Expert-level, hands-on experience in developing, tuning, and optimizing large-scale data processing applications using PySpark (Python for Apache Spark).
SQL: Mastery of Advanced SQL (including window functions, complex joins, stored procedures, and query performance tuning) across various database systems (e.g., Snowflake, Redshift, PostgreSQL).
Programming: Strong proficiency in Python for scripting, automation, and general data manipulation libraries (e.g., Pandas).
Big Data Architecture: Deep understanding of Big Data concepts, distributed systems architecture, data lakes, and modern data warehousing principles.
ETL/ELT: Proven experience in designing and implementing enterprise-grade ETL/ELT pipelines.

Preferred Qualifications (Good to Have)

Hands-on experience with wider Azure ecosystem components (Azure Data Factory, Azure Synapse, Key Vault).
Familiarity with workflow orchestration tools like Apache Airflow.
Experience with real-time/streaming data processing (e.g., Spark Structured Streaming, Kafka, or Event Hubs).
Advanced knowledge of Data Governance, Data Cataloging, and Data Security best practices.

Pay: ₹1,500,000.00 - ₹1,800,000.00 per year

License/Certification:

Databricks Certified Data Engineer Associate/Professional (Required)

Work Location: Remote

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