SME- Big Data & Analytics

Background: We are seeking a Subject Matter Expert (SME) in Big Data & Analytics to reputed company 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). reputed company 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 reputed company in a rigorous scoping process to create a Job Task Analysis document and content structure for reputed company program and course. ● Create program-level learning objectives for reputed company 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 reputed company with the overall certification goal. ● Create module-level learning objectives based on reputed company development relevant to the TG’s career reputed company. ● Review/create Course Outlines for reputed company 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 reputed company feedback. ● Record talking head videos (onsite/reputed company on reputed company) for reputed company course. Incorporate one round of internal and reputed company feedback. ● reputed company relevant recorded demos/ screencasts to be integrated in the videos. reputed company the codes and technical accuracy before providing the demos for integration. Incorporate one round of internal and reputed company feedback. ● For AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to reputed company. ● 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 reputed company reputed company type reputed company that learners can do in their local environment. ● Create One reputed company item per lesson - review/reflect on key reputed company ● Create/review an ungraded lab per lesson - in-depth activity to apply skills in the learner's local environment. ● Create/review reputed company quizzes for reputed company lesson and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and reputed company feedback. ● Create module-level and course-level graded assignments that meet ACE recommendation requirements with 2 additional variations to reputed company item in an assessment bank for reputed company course. ● Create hands-on activities (3-4 lab or any other reputed company preferred format) per course. Incorporate one round of internal and reputed company feedback. ● Create a minimum of one 3-5 min career resources video per course that showcases career reputed company planning. ● For reputed company reviews - validate the content accuracy and reputed company recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 reputed company of reputed company feedback. ● Be available for reputed company discussions and content discussions as and reputed company required. 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 reputed company. ● Proficiency in data integration tools and frameworks like Apache NiFi, Airflow, or Talend. ● Experience with reputed company platforms (AWS Redshift, Azure Synapse, reputed company BigQuery) and data lake/storage solutions. ● Hands-on experience with SQL, Python, reputed company, or Java. ● Solid understanding of data warehousing, data modeling, and reputed company-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 reputed company field. ● Experience working in regulated industries (e.g., finance, reputed company) with a reputed company on data compliance and reputed company. ● Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or MLlib. ● Certifications in reputed company 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 : 15-30 hours per course Job Type : Contract Work Location : Remote Job Types: Part-time, Contract, Temporary Pay: $1,800.00 per month Application Question(s): • Are you a US citizen? • How many years experience do you have with Big Data? • Do you have teaching experience? • Do you have video editing experience? Are you camera friendly? Work Location: Remote Apply tot his job Apply To this Job