Data Engineer
1 day ago
Experience: 0 - 2 Years Exp
Preferred Notice Period: Upto 30 Days
Opportunity Type: Office (Pune)
Placement Type: Full-time
(*Note: This is a requirement for one of Uplers' Clients)
Must have skills: SQL, Power BI, AI/ML, Microsft Excel
About the Role:
We are looking for a passionate and experienced Data Engineer + Instructor to deliver engaging instruction in data visualization, machine learning, and AI concepts, with a strong emphasis on Python programming. You will guide learners in building skills to visualize, analyze, and model data, preparing them for real-world applications in data science and AI.
If you're passionate about coding, solving complex problems, and helping others grow, this role is for you
Key Responsibilities:
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.
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.
Assessment and Feedback:
- Develop and administer tests, quizzes, and projects to assess student progress.
- Provide constructive feedback and mentorship to help students excel.
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.
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.
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:
- 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.
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.
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