Job Title

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. 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). Interested candidates can share resume on