Data Engineering

Join Verdantas – A Top #ENR 81 Firm Driving Sustainable Progress
We are seeking an Engineering Lead in Pune to architect and implement scalable, secure AI/ML data solutions aligned with business objectives. The role involves designing robust batch and real-time data architectures, leading ETL/ELT pipeline development, managing data lakes and warehouses, ensuring data quality and governance, mentoring data engineers, collaborating with stakeholders, and deploying cloud-based data infrastructure with CI/CD and cost optimization. Candidates should have 8+ years in data engineering with leadership experience, strong skills in SQL, Python, distributed processing frameworks, and cloud-native data services, with preferred certifications including Google Professional Data Engineer, Azure Data Engineer Associate, and AWS Certified Data Analytics Specialty. The position requires in-office work in Pune, Maharashtra, India.
Key Responsibilities :
Architecture & Strategy
Design and implement robust data architectures (batch and real-time) using modern data platforms.
Define data engineering standards, best practices, and governance policies.
Evaluate and recommend tools and technologies for data ingestion, storage, processing, and orchestration.
Development & Operations
Lead the development of ETL/ELT pipelines using tools like Apache Spark, Airflow, dbt, or Azure Data Factory.
Build and manage data lakes, data warehouses, and data marts.
Ensure data quality, lineage, and observability across pipelines.
Team Leadership
Mentor and guide data engineers, fostering a culture of technical excellence and continuous improvement.
Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions.
Manage project timelines, resource allocation, and delivery milestones.
Cloud & DevOps Integration
Deploy and manage data infrastructure on cloud platforms (AWS, Azure, GCP).
Implement CI/CD pipelines for data workflows and infrastructure as code (IaC).
Optimize performance and cost of data systems.
Skills & Qualifications
Bachelor’s or master’s in computer science, Data Engineering, or related field.
8+ years of experience in data engineering, with 2+ years in a leadership role.
Strong expertise in SQL, Python, and distributed data processing frameworks (Spark, Flink).
Experience with cloud-native data services (e.g., AWS Glue, Azure Synapse, BigQuery).
Familiarity with data modeling, data governance, and metadata management.
Excellent problem-solving, communication, and stakeholder management skills.
Preferred Certifications:
Google Professional Data Engineer
Microsoft Certified: Azure Data Engineer Associate
AWS Certified Data Analytics – Specialty
Why Join Us?
At our Pune office , you’ll be part of a vibrant, innovative environment that fuses local excellence with global impact. We foster a people-first culture and empower our employees with tools, support, and opportunities to thrive.
What We Offer:
Be part of a global vision with the agility of a local team.
Work on high-impact projects that shape industries and communities.
Thrive in a collaborative and dynamic office culture.
Access continuous learning and professional development programs.
Grow with clear paths for career progression and recognition.
An employee-centric approach that values your well-being and ideas.
Ready to Build the Future with Us?
“ Join us at Verdantas , and make a meaningful impact—professionally and environmentally. Be part of a visionary team driving innovation, sustainability, and transformative solutions that shape the future .”

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