Uttar Pradesh Power bi developer Jobs – 60 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
Power BI Developer
ScaleupAlly —Noida, Uttar Pradesh
- Full-time
- Azure
- SQL
- Analysis skills
- Health insurance
Power BI Developer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Bachelor's degree
SENIOR SQL DATA ENGINEER
Svitla Systems —Nowshera Murai, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
- Health insurance
- Paid sick time
Data Analyst Technical Lead (Alteryx)
Sopra Steria —Noida, Uttar Pradesh
- Full-time
- Oracle
- Master's degree
- APIs
Quick apply
9d
Sr. Analyst - BI, Reporting and Data Visualization 4A
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Microsoft Access
- Computer Science
- English
Quick apply
Senior Full Stack Developer - Dotnet + Angular
Empowered Margins —Noida, Uttar Pradesh
- ₹10,00,000 - ₹18,00,000 a year
- Azure
- Computer Science
- SQL
- Health insurance
Quick apply
Technical Associate - Application Development 5B
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
14d
Principal SAP BI Developer
Cognex Corporation —Noida, Uttar Pradesh
- Full-time
- ERP systems
- Databases
- Bachelor's degree
Sr. Analyst - BI, Reporting and Data Visualization 4B
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- English
Quick apply
Business Intelligence & Dashboard Developer
INTERRA INFORMATION TECHNOLOGIES INDIA PRIVATE LIMITED —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- SQL
Quick apply
ETL Tester
INTERRA INFORMATION TECHNOLOGIES INDIA PRIVATE LIMITED —Noida, Uttar Pradesh
- Oracle
- Computer Science
- Databases
Quick apply
3h
Technical Lead - BI
Aimbeyond Infotech —Noida, Uttar Pradesh
- Microsoft Excel
- Azure
- DevOps
Analyst-Data Management and Analytics-Data Ops/Data Analyst
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
Developer/ Jr. Developer (Data)
Contata Solutions —Noida, Uttar Pradesh
- Azure
- Databases
- SQL
- Health insurance
- Paid time off
Senior Digital Consultant – Power Platform
WSP —Noida, Uttar Pradesh
- Hybrid work
- Supervising experience
- Travel
- Agile
Developer
Alcor —Noida, Uttar Pradesh
- Full-time
- System design
- Master's degree
- Project management
IN-Senior Associate_Power BI Developer _Advisory Corporate _Advisory_Noida
PwC —Noida, Uttar Pradesh
- Full-time
- Databases
- SQL
- AWS
SQL Developer
MobileProgramming —Noida, Uttar Pradesh
- Azure
- Oracle
- Databases
Power BI + Kusto Developer
Softpath —Noida, Uttar Pradesh
- Full-time
- Azure
- SQL
- Analysis skills
Quick apply
2d

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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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