Data Engineering

10 hours ago

Junagadh, India Verdantas Full time

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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