Subject Matter Expert - Data Management & Engineering

Job Description

We are seeking a highly skilled Subject Matter Expert (SME) with deep expertise in Data Management and Engineering, including multimodal data pipelines, vector databases, data lakehouses, and real-time streaming systems. The ideal candidate brings strong hands-on engineering experience paired with the ability to teach complex data concepts clearly and practically.

A Day in Your Life:

• Analyze/create learning objectives for each course.
• Review/create Course Outline for each of the courses.
• 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.
• Provide relevant static or recorded demos/ screencast to be integrated in the videos.
• Incorporate one round of internal and client feedback.
• In case of AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check.
• 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.
• Create hands-on activities (1-2 lab or any other client-preferred format) per course.
• Incorporate one round of internal and client feedback.
• 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.
• Record talking head videos (onsite/virtually on Zoom) for each course. There will be approx 20-25 minutes of video recording involved per course. Incorporate one round of internal and client feedback.
• Provide digital signatures to be included on the client platform.
• 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

Skills in the spotlight:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of proven experience designing and maintaining scalable data pipelines and integrations.
• Strong proficiency with data pipeline tools and frameworks such as Apache Spark, Airflow, Kafka, or dbt.
• Hands-on experience with vector databases, embedding models, and metadata management.
• Solid understanding of data lakehouse architecture, data lakes, and data modeling patterns.
• Experience with distributed computing, real-time streaming data, and scalable multimodal systems.
• Proficiency in data quality assessment, data governance, and data security best practices.
• Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent).
• Strong SQL skills and experience with query optimization across diverse data sources.
• Certifications such as Google Cloud Data Engineer, AWS Data Analytics, Databricks certifications, or equivalent are a plus.
• Prior experience mentoring data teams or building data platform documentation is preferred.

Keen to know more, reach out to Leston Sequeira at [email protected]

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/