Subject Matter Expert

**Background**:
**Scope of Work**:

- Create a course structure for a certificate program with 4-5 courses (number of courses to be based on scoping). Each course is likely to have 4-5 modules and a total of 25 lessons. So a 4-course program could have up to 100 lessons.
- Work closely with the client in a rigorous scoping process to create a Job Task Analysis document and content structure for each program and course.
- Create program-level learning objectives for professional certificate courses. The number of objectives will depend on the level - beginner, intermediate, or advanced - and the type of certification course.
- **Create course-level learning objectives aligned with the overall certification goal.**
- **Create** module-level learning objectives based on skill development relevant to the TG’s career track.
- **Review/create Course Outlines** for each of the courses.
- **Review video scripts**and confirm technical accuracy of the content, suggest edits and updates as required. Re-write content and codes as needed. Incorporate one round of internal and client feedback.
- **Record talking head videos (**onsite/virtually on Zoom) for each course. Incorporate one round of internal and client feedback.
- **Provide relevant recorded demos/ screencasts** to be integrated in the videos. Check the codes and technical accuracy before providing the demos for integration. Incorporate one round of internal and client feedback.
- For AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check.
- **Create/review 2-3 readings per lesson**(why and what, 1500 words maximum per reading). The How readings should have detailed instructions/screenshots with short code block type practice that learners can do in their local environment.
- **Create One Coach item per lesson** - review/reflect on key ideas
- **Create/review practice quizzes for each lesson** and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and client feedback.
- **Create module-level and course-level graded assignments** that meet ACE recommendation requirements with 2 additional variations to each item in an assessment bank for each course.
- **Create hands-on activities** (3-4 lab or any other client preferred format) per course. Incorporate one round of internal and client feedback.
- **Create a minimum of one 3-5 min career resources video per course** that showcases career path planning.
- For all reviews - validate the content accuracy and provide recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 rounds of client feedback.
- Be available for client discussions and content discussions as and when required.
- There will be an initial phase called **‘a Discovery Phase’** of 3-4 weeks with the client LDC, requiring 20-25 hours of weekly time by the SME.
- During this, the SME will work in tandem with the Client stakeholders to:

- 1. Scope and define the skill-based content that needs to be covered in each course.
- 2. Co-create and validate a Job Task Analysis document and Content Development Format (CDF).

**Requirements**:

- **8+ years** of experience in data engineering, big data architecture, or analytics roles.
- Strong expertise in **Hadoop ecosystem (HDFS, Hive, Pig, HBase)** and **Apache Spark**.
- Proficiency in **data integration tools and frameworks** like Apache NiFi, Airflow, or Talend.
- Experience with **cloud platforms** (AWS Redshift, Azure Synapse, Google BigQuery) and data lake/storage solutions.
- Hands-on experience with **SQL, Python, Scala, or Java**.
- Solid understanding of **data warehousing**, **data modeling**, and **real-time data streaming** (e.g., Kafka, Flink).
- Familiarity with **BI tools** like Power BI, Tableau, or Looker.
- Strong problem-solving and communication skills with the ability to explain technical concepts to non-technical stakeholders.

**Preferred Qualifications**:

- Master’s or Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- Experience working in regulated industries (e.g., finance, healthcare) with a focus on data compliance and privacy.
- Familiarity with **AI/ML frameworks** like TensorFlow, PyTorch, or MLlib.
- Certifications in cloud platforms or big data technologies (e.g., AWS Big Data Specialty, GCP Data Engineer).

**Timelines and Payout**:
**Project start date**: Immediate

**Project Duration**: 6 Months

**Time Availability**: 25 hours per course

**Job Type**: Contract

**Work Location**: Remote
- You must take the necessary steps to safeguard the integrity, security, and confidentiality of shared confidential information._

**Job Type**:Freelance (0

**Job Location**:Remote