[Urgent] Data Engineering

Job Description

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 impactprofessionally and environmentally. Be part of a visionary team driving innovation, sustainability, and transformative solutions that shape the future.