Data Engineer

6 days ago

Pune, Maharashtra, India Uplers Full time ₹ 6,00,000 - ₹ 12,00,000 per year

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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