Up Etl developer 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
Senior Administrator - Microsoft PowerBI,Windows Powershell, Python
HCLTech —Noida, Uttar Pradesh
- Microsoft Excel
- Azure
- Computer Science
Snr Analytics Engineer
Alight —Noida, Uttar Pradesh
- Computer Science
- SQL
- AWS
- Health insurance
- Paid time off
11d
Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- SQL
SAP MM with Data Migration Consultant
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- SQL
- Bachelor's degree
GCP AlloyDB PostgreSQL Performance Architect
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- Oracle
- DevOps
Quadient Workflow Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
3d
Sr. Developer/ IC (Data)
Contata Solutions —Noida, Uttar Pradesh
- Azure
- SQL
- AWS
- Health insurance
- Paid time off
Technical Lead – Integration / Data Platforms (Enterprise Programs)
Solutionara Private Limited —Noida, Uttar Pradesh
- ₹10,00,000 - ₹18,00,000 a year
- Full-time
- Azure
- Oracle
- Computer Science
- Paid time off
- Paid sick time
Quick apply
Data Migration Consultant
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- SQL
- Bachelor's degree
IN_Senior Associate 2_Oracle Fusion _Oracle_Advisory_Noida
PwC —Noida, Uttar Pradesh
- Full-time
- Oracle
- Computer Science
- Finance
Lead MongoDB
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- SQL
- AWS
Databricks Senior Data Architect
HCLTech —Noida, Uttar Pradesh
- Azure
- AWS
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382020-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- SQL
Staff Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
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Senior Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- SQL
Senior Developer 2 for Non-Authoring Backend Logic
Alight —Noida, Uttar Pradesh
- Databases
- SQL
- AWS
- Health insurance
- Work from home
3779983-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Salesforce
- AWS
- APIs
Guidewire Claims Tester
Coforge Ltd. —Greater Noida, Uttar Pradesh
- Azure
- Computer Science
- DevOps
6d
Tech Lead - Enterprise Application Salesforce P 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
18h

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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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