Up Lead solution architect data and analytics Jobs – 93 Open Jobs Today

Data Engineer
ScaleupAlly —Noida, Uttar Pradesh
- ₹9,00,000 - ₹12,00,000 a year
- Full-time
- Azure
- SQL
- Bachelor's degree
- Health insurance
- Paid time off
Quick apply
AWS Cloud DevOps Lead
Solutionara Private Limited —Noida, Uttar Pradesh
- ₹5,00,000 - ₹17,00,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Paid time off
- Cell phone reimbursement
Quick apply
Sr Lead - SFDC Agentforce
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- Azure
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WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- Machine learning
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Delivery Head - Public Sector
Saaki Argus & Averil Consulting —Noida, Uttar Pradesh
- Project management
- Leadership
- Communication skills
Quick apply
PE || 2025021 || Computer Vision Architect || WDTS
Droisys Inc —Unknown, Uttar Pradesh
- Azure
- Doctoral degree
- Computer Science
Quick apply
Manager — Information Security and Compliance
apexanalytix —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Bachelor's degree
Quick apply
Lead Business Analyst-Insurance/Reinsurance cat modeller
BirlaSoft —Noida, Uttar Pradesh
- Analytics
Software / Platform Engineer II
MetLife —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
5d
Marketo Consultant
VML/WPP Enterprise Solutions —Greater Noida, Uttar Pradesh
- Azure
- Salesforce
- Java
Quick apply
3d
Associate Director - Industry Advisory 3
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- PMP
- Salesforce
- English
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Senior Big Data Engineer (Scala | PySpark | AWS Glue | Databricks)
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
7d
Data Modeler – Databricks Delta Lake / Lakebase & Oracle Cloud Migration
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
12d
Senior Data Engineer – Data Modeling & Oracle Cloud Migration
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
8d
4348- Software Development Engineer-III Backend (Comet)
Innovaccer Analytics —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
Quick apply
Business Intelligence Consultant
HyTechPro —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Technical Architect
RxLogix —Noida, Uttar Pradesh
- Full-time
- Oracle
- DevOps
- Java
.Net Full Stack Architect - United States
Persistent —Newara, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
- Flexible schedule
Senior PHP Developer Noida - Hybrid • Hybrid
Daxko —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Databases
- SQL
- AWS
5d
Data Modeler – Databricks Delta Lake / Lakebase & Oracle Cloud Migration
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
12d

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Data Engineer

ScaleupAlly
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
₹9,00,000 - ₹12,00,000 a year

Benefits

Provident Fund
Leave encashment
Health insurance
Paid time off
Work from home
Life insurance
Paid sick time

Qualifications

CI/CD
Power BI
Azure
Spark
Information Systems
SQL
Bachelor's degree
Continuous integration
APIs
ETL
Agile
Metadata
Data warehouse
Python

Full job description

Job Title: Data Engineer

Business Unit:

ScaleupAlly

Company:

Admito Technologies Pvt Ltd.

Location:

Noida

Type:

Full Time

About the Company:

ScaleupAlly is powering the world's startups and leaders. We provide on-demand access to the experts in technology solutions development. ScaleupAlly Talent Network is a group of highly skilled engineering leads, developers, designers, and quality analysts from around the world who are changing the rules of the workforce. The mission is to expand the technological capabilities of Startups and Leaders by building a managed and remote agile team.

Purpose of Job:

SacleupAlly is looking for a Hands-onLead Data Engineer who will lead the data engineering team while actively contributing to project development. This role requires strong technical expertise in Python, Microsoft Fabric, Azure Data Factory, SQL Databases, and large-scale data pipelines, along with the ability to set engineering standards, follow best practices, and deliver production-grade solutions.

The ideal candidate will work on high-volume data systems, take ownership of architecture and implementation, and mentor team members without moving away from hands-on development.

Essential Qualifications:

Bachelor's degree in any discipline.
Information Systems, or a related field.
Holds at least 3-6 years of demonstrable experience in data engineering.

Skills:

ADF l Microoft Fabrics l SOL l ETL/ELT l Power BI l Python l

Duties:

Lead and mentor a team of data engineers while remaining hands-on with critical development, solution design, and technical decision-making.
Own end-to-end data engineering deliverables, including architecture, development, optimization, and production support.
Design, build, and maintain scalable, high-performance data pipelines and ETL/ELT frameworks using Python, SQL, Azure Data Factory, and Microsoft Fabric.
Architect and optimize Lakehouse and Data Warehouse solutions to efficiently handle large-scale, high-volume data workloads.
Ensure data quality, reliability, security, and compliance through robust validations, monitoring, fault tolerance, and access controls.
Perform code reviews, enforce engineering best practices, and drive performance, scalability, and cost optimization initiatives.
Integrate data from APIs, transactional systems, and external platforms.
Lead troubleshooting, root-cause analysis, and resolution of complex production issues.
Collaborate closely with BI, analytics, product, and business stakeholders to translate requirements into scalable technical solutions.
Evaluate emerging tools, modern technologies, and architectural patterns, proactively driving process and platform improvements.

Required Qualifications:

Strong hands-on expertise in Python and SQL for building and optimizing production-grade data pipelines.
Solid understanding of ETL/ELT, Lakehouse, and data warehousing architectures.
Advanced experience with Azure Data Factory and Microsoft Fabric for scalable data engineering workloads.
Proven ability to handle high-volume, high-throughput data systems with focus on performance and reliability.
Experience with distributed data processing (e.g., Delta Lake, Spark) and CI/CD for data pipelines.
Exposure to data governance, lineage, metadata management, and security best practices.
Hands-on leadership with strong ownership, mentorship, and engineering standards.
Excellent communication, problem-solving, and stakeholder management skills.

Benefits and Additional Information:

Working hours: 10:00 AM – 7:00 PM.
Working days: 5 days a week (plus 1st & 3rd Saturdays working)
Medical Insurance coverage for employees.
Provident Fund (PF) facility.
Quarterly parties and yearly outings/trips for team bonding.
Regular check-ins with leadership for growth and feedback.
Recognition awards to celebrate high performance.
Fun activities and team engagement sessions throughout the year.

Pay: ₹900,000.00 - ₹1,200,000.00 per year

Benefits:

Health insurance
Leave encashment
Life insurance
Paid sick time
Paid time off
Provident Fund
Work from home

Work Location: In person

Quick apply

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lead solution architect data and analytics jobs in up

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