Overview

We are looking for a Senior Data Engineer to design and deliver scalable data platforms, analytics solutions, and AI-ready data products using modern cloud technologies.

The role combines data engineering, analytics, business intelligence, and technical leadership , with a strong focus on Microsoft Azure and Microsoft Fabric . You will work closely with business stakeholders, architects, data scientists, and engineering teams to turn complex data into trusted insights and scalable data solutions.

Responsibilities

- Design and develop enterprise-scale data pipelines and ETL/ELT solutions using Azure Data Factory, Azure Databricks, and Microsoft Fabric .
- Build scalable lakehouse and data warehouse solutions using ADLS, OneLake, Delta Lake, Synapse , and related technologies.
- Develop high-performance data processing solutions using SQL, Python, and PySpark .
- Design data models, dimensional schemas, analytical datasets, and semantic models for enterprise reporting and analytics.
- Build and optimize batch and near-real-time data pipelines , including API, event-driven, and streaming integrations where required.
- Establish robust practices for data quality, validation, reconciliation, governance, metadata, lineage, security, and compliance .
- Implement Git-based development, CI/CD, automated deployments, monitoring, and operational support for data solutions.
- Analyze complex datasets, define KPIs, and deliver actionable insights through Power BI and other BI platforms .
- Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
- Support AI/ML and Generative AI initiatives by developing trusted, governed, and AI-ready data foundations.
- Lead data modernization and cloud transformation initiatives,



including migration from legacy platforms to Azure/Fabric .
- Troubleshoot and optimize data pipelines, queries, Spark workloads, storage, and cloud costs.
- Provide technical guidance and mentorship to data engineers and analysts while driving engineering best practices.

Required Qualifications

- 8–10 years of experience in data engineering, analytics, BI, or related data disciplines.
- Solid hands-on experience with Azure Data Factory, Azure Databricks, and/or Microsoft Fabric .
- Strong knowledge of Azure Data Lake, OneLake, Delta Lake, lakehouse, and data warehouse architectures .
- Advanced SQL skills, including query optimization, partitioning, indexing, and performance tuning.
- Robust programming experience with Python and PySpark ; Scala is a plus.
- Strong understanding of data modeling, dimensional modeling, ETL/ELT, orchestration, and data architecture .
- Experience with Power BI or equivalent BI platforms and the ability to translate business requirements into analytical solutions.
- Experience with Git, Azure DevOps, CI/CD , and production data pipeline practices.
- Understanding of data governance, quality, security, metadata, lineage, and compliance .
- Experience with cloud data platforms and distributed processing technologies such as Databricks, Spark, Snowflake, Synapse, Kafka, or equivalent.
- Strong communication, stakeholder management, problem-solving, and technical leadership skills.

Preferred Qualifications





- Experience with Microsoft Fabric, OneLake, Fabric Data Factory, and Power BI .
- Exposure to real-time data processing, Event Hubs, Service Bus, APIs, or event-driven architectures .
- Experience with Terraform, Bicep, or other Infrastructure-as-Code technologies .
- Experience supporting AI/ML, Generative AI, or advanced analytics initiatives.
- Experience with enterprise data governance, cataloging, lineage, and master data management.
- Relevant Azure, Fabric, Databricks, Snowflake, or other cloud data certifications.
- Experience working in Agile/Scrum and global delivery environments .

What You'll Bring

- A strong engineering mindset focused on scalability, reliability, performance, and quality .
- Ability to move between technical implementation, data analysis, and business problem-solving .
- Strong ownership of data solutions from requirements and architecture through development, deployment, and production support .
- Curiosity to adopt modern cloud, data, analytics, and AI technologies .
- Ability to mentor others and influence technical decisions across teams.

Why Join Us?

- Lead modern Azure and Microsoft Fabric data transformation initiatives.
- Work across Data Engineering, Analytics, BI, and AI .
- Solve complex enterprise data challenges at scale.
- Collaborate with architects, engineers, analysts, data scientists, and business leaders.
- Build solutions that directly influence business decisions and outcomes .
- Grow your expertise through continuous learning, certifications, and exposure to modern data technologies.

Ready to build the future of data? Join our Data & Analytics team and help organizations turn data into trusted insights and intelligent business outcomes. ? Apply now.

📌 Senior Data Engineer (Sahibzada Ajit Singh Nagar)
🏢 de facto Infotech
📍 Sahibzada Ajit Singh Nagar