Overview
We are looking for a Senior Data Engineer to design and deliver scalable data platforms, analytics solutions, and AI-ready data products using up-to-date 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

📌 Senior Data Engineer (India)
🏢 de facto Infotech
📍 India