Data Engineer + SME

About the Role:

Data Engineer +

If youre passionate about coding, solving complex problems, and helping others grow, this role is for you!

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.

1. 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

  .

1. Assessment and Feedback

   :

• Develop and administer tests, quizzes, and projects to assess student progress.
• Provide constructive feedback and mentorship to help students excel.

1. 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.

1. 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.

1. 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.

1. 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.