Facilitator Data Engineering

💰 ₹50,400 - ₹80,640 (Est.) 📍 Bangalore

Job Description

Position: Data Engineering Facilitator / Program Mentor

Qualification: B.E / M.Tech in Computer Science, Data Engineering, or related fields

Experience: Minimum 2 years of hands-on experience in Data Engineering

Compensation: Company Standards

About Inunity

At Inunity, we’re building a culture of technological empowerment and problem-solving by bridging the gap between academic learning and real-world application. We work closely with students to not just teach, but mentor them in solving complex challenges and delivering tangible solutions through product-based learning.

We believe that every learner has the potential to become a builder and innovator when given the right tools, guidance, and environment. As we expand our impact, we’re looking for dynamic individuals who share our vision and can help deliver high-impact learning experiences in the field of Data Engineering.

About the Role

We’re seeking a Data Engineering expert with a passion for teaching and building impactful learning experiences. This role goes beyond traditional instruction—it's about designing engaging, industry-relevant content and delivering it in a way that sparks curiosity and problem-solving among young professionals.

If you’re someone who thrives in a startup-like, hands-on learning environment and loves to simplify complex technical concepts, we want you on our team.

Key Skills & Expertise
• Strong practical experience with data engineering tools and frameworks (e.g., SQL, Python, Spark, Kafka, Airflow, Hadoop).
• Ability to design course modules that emphasize application, scalability, and problem-solving.
• Demonstrated experience in mentoring, teaching, or conducting technical workshops.
• Passion for product thinking—guiding students to go beyond code and build real solutions.
• Excellent communication and leadership skills.
• Adaptability and a growth mindset.

Your Responsibilities at Inunity
• Design and deliver an industry-relevant Data Engineering curriculum with a focus on solving complex, real-world problems.
• Mentor students through the process of building product-grade data solutions, from identifying the problem to deploying a prototype.
• Conduct hands-on sessions, coding labs, and data engineering workshops.
• Assess student progress through assignments, evaluations, and project reviews.
• Encourage innovation and entrepreneurship by helping students transform ideas into structured products.
• Continuously improve content based on student outcomes and industry trends.
• Be a role model who inspires, supports, and challenges learners to grow into capable tech professionals.

Why Join Inunity?

At Inunity, you're not just teaching—you’re shaping future technologists who will solve real challenges in their communities. You’ll be part of a movement that’s redefining education through product-led, impact-driven learning.

If you're a builder, mentor, and changemaker at heart—we’d love to meet you.

💡 Quick Summary

Seeking a career-building opportunity? The Facilitator Data Engineering position is now open for candidates interested in the Database Administrator sector. This role in Bangalore offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Database Administrator is a plus.

Sponsored

Job Details

Company Name: InUnity - Innovation for Community

Frequently Asked Questions

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The expected salary for Facilitator Data Engineering in Bangalore is ₹50,400 - ₹80,640 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Facilitator Data Engineering is an on-site position based in Bangalore. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Facilitator Data Engineering. Previous experience in Database Administrator is a plus. Freshers may also apply depending on the employer's requirements.
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