Subject Matter Expert (SME) Big Data Analytics

Background:

We are seeking a Subject Matter Expert (SME) in Big Data & Analytics to lead the design, development, and optimization of data-driven solutions. The ideal candidate will have deep experience in big data technologies, data pipelines, and advanced analytics to drive business intelligence, predictive modeling, and strategic decision-making.

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 an ungraded lab per lesson – in-depth activity to apply skills in the learner’s local environment. 
• 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.

For additional information on Hurix, please visit: https://www.hurix.com/life-at-hurix/