Job Title : Data Engineer

Location : Pune, Baner (Work from Office)

Experience : 6+ years

Working Days : Monday to Friday (9:30 AM - 6:30 PM)

Education : Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field

Key Responsibilities :

- Work with an AI-first mindset, actively identifying opportunities to integrate AI into processes, workflows, and solution design.

- Design and develop robust data pipelines for large-scale data ingestion, transformation, and analytics.

- Implement scalable Lakehouse architectures using tools like Microsoft Fabric for structured and semi-structured data.

- Develop custom KQL/SQL for both Structured and Unstructured queries and manage data using Power BI, Azure Cosmos DB, or similar tools.

- Work with Python, PySpark, and Azure services to support data modelling, automation, and predictive insights.

- Collaborate with cross-functional teams to integrate data-driven components with application backends and frontends.

- Ensure secure, efficient, and reliable CI/CD pipelines for automated deployments and data updates.

Requirements :

- Strong proficiency in Python, PySpark, and cloud-native data tools

- Experience with Microsoft Azure services (e.g., App Services, Functions, Cosmos DB, Active Directory)

- Hands-on experience with Microsoft Fabric (preferred or good to have)

- Working knowledge of Power BI and building interactive dashboards for business insights

- Familiarity with CI/CD practices for automated deployments

- Exposure to machine learning integration into data workflows (nice to have)

- Strong analytical and problem-solving skills with attention to detail

Good to Have :

- ML tools and models

- Power Platform

- AI Coding tools

- Experience with KQL (Kusto Query Language)

- Background in simulation models or mathematical modeling

- Knowledge of Power Platform integration (Power Pages, Power Apps)

Benefits :

- Competitive salary.

- Health insurance coverage.

- Professional development opportunities.

- Dynamic and collaborative work environment.

About Avigna AI :

We are excited to share an opportunity at Avigna.AI for the position of Data Engineer. We're looking for professionals with strong data engineering experience who can contribute to building scalable, intelligent data solutions and have a passion for solving complex problems.

Our Culture :

At Avigna.AI, we pride ourselves on fostering a collaborative and close-knit culture. Our team is made up of passionate individuals who thrive on creativity and are committed to making a real impact. Here, every team member is valued, and their contributions play a pivotal role in our collective success.

Why Avigna.AI :

Cutting-Edge Projects: Avigna.AI is at the forefront of AI innovation. As a Data Engineer you'll be instrumental in driving our groundbreaking projects that challenge the status quo and redefine possibilities.

Small Team, Big Impact: In our close-knit team, every member plays a crucial role. Your expertise in Development won't go unnoticed; it's a key ingredient to our collective success. Your contributions will directly shape the trajectory of our projects.

Flexibility and Growth: We understand the importance of a balanced life. Avigna.AI supports a flexible work environment. Also, we offer opportunities for professional growth within a dynamic industry. As a part of our organization, you'll have the chance to take on diverse responsibilities and expand your skill set.

Innovation and Collaboration: Our core values of innovation and collaboration aren't just words - they're woven into the fabric of our daily operations. Join a team that encourages creative thinking and values your unique perspective.

We're passionate about what we do, and we believe your skills in Development could make a significant impact at Avigna.AI. If you're passionate about IoT, value collaboration, and are looking for a workplace where your contributions truly matter, Avigna.AI is the place for you. We're not just building solutions; we're building a community of visionaries who are shaping the future of technology.