Join Verdantas - A Top #ENR 81 Firm

Verdantas is seeking 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

- Bachelors or Masters 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineering Lead (Pune)
🏢 ASEC ENGINEERS
📍 Pune