Okhla Delhi Delhi Sr. data & bi engineer Jobs – 50 Open Jobs Today

Sr. Data & BI Engineer
ScaleupAlly —Noida, Uttar Pradesh
- ₹7,00,000 - ₹10,00,000 a year
- Full-time
- Microsoft Powerpoint
- Azure
- DevOps
- Commuter assistance
- Health insurance
Quick apply
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Sr. Data & BI Engineer

ScaleupAlly
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
₹7,00,000 - ₹10,00,000 a year
8 days ago

Benefits

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

Qualifications

Microsoft Powerpoint
CI/CD
Power BI
Data modelling
Azure
Software deployment
DevOps
Spark
Microsoft SQL Server
Git
Information Systems
SQL
Bachelor's degree
Continuous integration
APIs
Agile
Python
Analytics

Full job description

Business Unit:

ScaleupAlly

Company

Admito Technologies Pvt Ltd.

Location:

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

ScaleupAlly is looking for a Senior Power BI Developer with strong expertise in Power BI, SQL, DAX, data modeling, and BI, along with a solid understanding of data engineering and modern data platforms.

The role involves building end-to-end BI solutions, including data transformation, modeling, dashboard development, and performance optimization. The candidate should understand ETL/ELT, data pipelines, and scalable data architectures and work closely with data engineers and business stakeholders.

Required Qualifications

Bachelor's degree in any discipline / Information Systems, or a related field.
4–6 years of hands-on experience in Power BI development, SQL, DAX, and data modeling.

Skills

Duties

Develop and maintain advanced Power BI dashboards and reports using DAX, Power Query, data modeling, RLS, and Power BI Service.
Design and manage end-to-end ETL/ELT data pipelines using Azure Data Factory and Microsoft Fabric.
Write and optimize complex SQL queries for data extraction, transformation, and analytics.
Design scalable data models, including Star Schema, fact and dimension tables.
Work with SQL Server, Azure SQL, Snowflake, Azure Synapse, and Lakehouse environments.
Use Python, Spark/PySpark, and Delta Lake for data processing and automation.
Integrate data from databases, APIs, files, and transactional systems while ensuring data quality.
Optimize Power BI reports, DAX, SQL, data models, pipelines, and refresh performance.
Troubleshoot end-to-end data flow from source systems → pipelines → warehouse/lakehouse → Power BI.
Collaborate with Data Engineers, Business Analysts, and stakeholders to deliver scalable BI solutions.
Perform data reconciliation, root-cause analysis, and issue resolution.
Follow Git/version-control practices and contribute to technical standards and documentation.
Mentor junior team members and support technical decision-making.
Take ownership of BI and data engineering solutions from development through deployment and optimization.

Preferred Qualifications

Experience with Snowflake, Azure Synapse Analytics, dbt, or Airflow.
Experience with CI/CD and Azure DevOps for BI/data solutions.
Experience working in Microsoft Fabric end-to-end environments.
Exposure to data governance, data security, and enterprise BI architecture.
Experience working with APIs and cloud-based data sources.
Experience in designing or contributing to enterprise-scale BI/data architectures.
Experience working with globally distributed teams or international stakeholders.

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

Company Details

Website:

Meet the Team Members:

Company PPT: Linkedin:

GlassDoor:

Google:

Instagram:

Benefits and Culture:

Address,Email & Phone Number:

Pay: ₹700,000.00 - ₹1,000,000.00 per year

Benefits:

Commuter assistance
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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