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Subject Matter Expert (SME) – Big Data

Remote · USA Full-time New today

Synopsis: We are looking for a skilled Subject Matter Expert (SME) to help design and/or deliver an advanced-level course for Big Data & Analytics to join our team to review and create learning videos. The course is intended to provide practical, hands-on training for experienced professionals, with a strong emphasis on real-world tools applications. A Day In Your Life: 1.Analyze/create learning objectives for each course. 2. Review/create Course Outline for each of the courses. 3. Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback. 4. Provide relevant static or recorded demos/ screencast 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. 5. In case of AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check. 6. Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback. 7. Create hands-on activities (1-2 lab or any other client preferred format) per course. Incorporate one round of internal and client feedback. 8. Review practice quiz and graded assessments (5 files, each comprising 5-10 questions) and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and client feedback. 9. Record talking head videos (onsite/virtually on Zoom) for each course. There will be approximately 20-25 minutes of video Location: Remote Job Type: Contract /Part time Skills In Spotlight:

  • We are seeking a highly skilled and experienced Subject Matter Expert (SME) in Big Data and Analytics ." The SME will work collaboratively with instructional designers, technical editors, and e-learning developers to create advanced, practical learning content targeted at automation professionals.

Required Skills:

  • 8+ years of experience in data engineering, big data architecture, or analytics roles.
  • Microsoft Certifications such as:
  • Azure Data Engineer Associate (DP-203)
  • Azure Solutions Architect Expert
  • Azure AI Engineer Associate
  • Experience working with education platforms
  • 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).
  • Strong expertise in Hadoop ecosystem (HDFS, Hive, Pig, HBase) and Apache Spark.
  • Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Azure Data Factory, Azure Stream Analytics, and Microsoft Purview.
  • 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.

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/ Job Types: Part-time, Contract Application Question(s):

  • Are you US Citizen ?
  • Do you have teaching experience?
  • Do you have content editing experience?

Work Location: Remote Apply tot his job Apply To this Job

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