Data Engineer + Subject matter Expert

Incanus Technologies; Pune District; On-site; INR 600,000 - 900,000; Full time

Job summary

Incanus Technologies in Pune is seeking a lecturer/trainer to design Data Visual Analytics and DBMS curricula, deliver lectures and practical sessions, and mentor students through capstone projects that integrate data visualization with AI/ML.

Responsibilities include developing assessments, guiding students, and organizing workshops with tools such as MySQL, PostgreSQL, MongoDB and Oracle, while collaborating with other departments to stay industry-relevant.

Qualifications

• Bachelor's or Master's degree in Computer Science, IT, or related fields.
• Experience with data engineering or database design is preferred.
• Certifications in database technologies are a plus.

Responsibilities

• Curriculum development for Data Visual Analytics, DBMS course content, and practical assignments.
• Deliver lectures and hands-on sessions on relational models, SQL, NoSQL, and database design.
• Provide real-world use cases and examples to enhance student understanding.
• Assess student progress with tests, quizzes, and projects; provide feedback and mentoring.
• Foster engaging classroom environments and assist with troubleshooting database issues.
• Share industry practices and tools like MySQL, PostgreSQL, MongoDB, Oracle; organize workshops.
• Collaborate with other instructors to integrate database concepts across courses.

Skills

SQL

PL/SQL

T-SQL

Database design

Normalization

Indexing

Performance tuning

Cloud databases awareness

Education

Bachelor's or Master's degree in Computer Science or IT

Tools

MySQL

PostgreSQL

Oracle

MongoDB

Cassandra

Knn and Clustering

Tableau

Power BI

Job description

Key Responsibilities:

1. Curriculum Development:
   Design and develop Data Visual Analytics, DBMS course content, lesson plans,
   and practical assignments.
   Stay updated with the latest trends in database technologies and incorporate them
   into the curriculum.
2. Teaching and Training:
   Deliver lectures and hands‑on sessions on database concepts such as relational
   models, SQL, NoSQL, normalization, and database design.
   Provide real‑world use cases and examples to enhance student understanding.
   Teach advanced topics like query optimization, database security, data warehousing,
   and cloud databases.
   Build real‑world capstone projects that combine data visualization with AI/ML
   applications.
   Stay up to date with the latest industry trends and tools in Data Science, AI/ML, and
   Visual Analytics.
3. Assessment and Feedback:
   Develop and administer tests, quizzes, and projects to assess student progress.
   Provide constructive feedback and mentorship to help students excel.
4. Student Engagement:
   Foster an engaging and collaborative classroom environment.
   Assist students in troubleshooting database issues or practical exercises.
   Guide students on career opportunities in database management and related fields.
5. Industry Relevance:
   Share insights on industry practices and tools like MySQL, PostgreSQL, MongoDB,
   Oracle, etc.
   Organize workshops, hackathons, or webinars for hands‑on learning experiences.
6. Collaboration:
   Work with other instructors and departments to integrate database concepts into
   multidisciplinary projects.
   Adapt teaching methodologies to suit diverse learning styles.

Qualifications and Requirements:

1. Education/Experience:
   Bachelor's or Master's degree in Computer Science, Information Technology, or
   related fields.
   Expertise in Data Engineering.
   Certifications in database technologies (e.g., Oracle DBA, Microsoft SQL Server,
   AWS Certified Database Specialist) are a plus.
2. Technical Skills:
   Proficiency in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL
   systems (MongoDB, Cassandra, Knn and Clustering).
   Tableau or Power BI.
   Strong command of SQL, PL/SQL, or T-SQL.
   Familiarity with database design, normalization, indexing, and performance tuning.
   Knowledge of cloud database platforms like AWS RDS, Azure SQL, or Google
   Cloud Spanner.

Experience: 1 - 4 years