Join Verdantas – A Top #ENR 73 Firm

We at Verdantas seeking for a Data Engineering Lead to design and deliver scalable, secure, and modern data solutions that support AI/ML, reporting, analytics, and web applications. The ideal candidate will have strong expertise in Microsoft Azure, Microsoft Fabric, data platform architecture, and team leadership.

Key Responsibilities

Architecture & Strategy
Design and implement batch and real-time data architectures using contemporary cloud platforms.
Define data engineering standards, governance, and best practices.
Evaluate and recommend technologies for data ingestion, processing, storage, and reporting.

Development & Operations
Lead development of ETL/ELT pipelines using Spark, Airflow, dbt, Azure Data Factory, and Microsoft Fabric.
Build and manage data lakes, lakehouses, data warehouses, and data marts.
Ensure data quality, lineage, observability, and governance.
Develop scalable data solutions supporting enterprise reporting, dashboards, and web applications.

Leadership & Collaboration
Mentor data engineers and drive technical excellence.
Collaborate with business stakeholders, analysts, data scientists, and application teams.
Manage project delivery, timelines, and resource allocation.

Cloud & DevOps




Build and manage cloud-based data platforms on Azure and Microsoft Fabric.
Implement CI/CD pipelines and Infrastructure as Code (IaC).
Optimize performance, scalability, and cost efficiency.

Skills & Qualifications
Bachelor's or master's degree in computer science or related field.
8+ years of Data Engineering experience with 2+ years in a leadership role.
Solid SQL and Python skills.
Experience with Spark, Flink, ETL/ELT frameworks, and contemporary data architectures.
Hands-on experience with Microsoft Azure services such as Azure Data Factory, Synapse, Data Lake, and Databricks.
Experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Factory, Power BI integration).
Experience building data solutions for reporting, analytics, dashboards, and web applications.
Strong understanding of data modeling, governance, metadata management, and cloud-native architectures.
Excellent communication and stakeholder management skills.

Preferred Certifications
Microsoft Certified: Azure Data Engineer Associate
Microsoft Fabric Analytics Engineer Associate
Google Professional Data Engineer
AWS Certified Data Analytics – Specialty

Location and Work Set-up

Pune, Maharashtra, India

Work Mode: In Office

📌 Data Engineering Lead Pune
🏢 Verdantas
📍 Pune