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.
- Strong SQL and Python skills.
- Experience with Spark, Flink, ETL/ELT frameworks, and modern 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