Data Technical Mentor
U
UdacityTech
US Canada, Europe, MENA, India & APAC TimezonesContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience in the relevant field
- Required Skills
- AWSPythonSQLData AnalysisGCPHadoopMicrosoft Power BINumpyTableauAzurePandasSparkAnalytical SkillsMicrosoft ExcelProblem SolvingData modeling
Requirements
- Proven technical expertise with 5+ years of experience in the relevant field
- A passion for mentoring and helping others succeed in their learning
- Excellent interpersonal skills
- A deep understanding of the tech industry and emerging trends in AI and related fields
- The flexibility to work part-time as an external contractor
- Proficiency in Python and/or SQL
- Strong understanding of data analysis, statistics, and data modeling concepts
- Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
- Familiarity with ETL processes and data pipelines
- Understanding of databases (relational and/or NoSQL)
- Knowledge of data warehousing concepts and architecture
- Ability to work with large datasets and optimize data workflows
- Experience with data quality, validation, and governance practices
- Strong problem-solving and analytical skills
- Experience with big data tools (Spark, Hadoop)
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Exposure to real-world data projects (analytics, engineering, or architecture)
Responsibilities
- Provide personalized support by addressing learner questions related to course content and projects.
- Review students' previous project submission(s) and/or specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.
- For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
- For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter.
- Host regular sessions (via Slack or video) to address learner queries related to projects and coursework.
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