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Role: Data/Programing
Job Types: Part-time, Freelance
Work Location: Remote
Course List:
| Map Data Flows Fast |
| Build Modular Stages |
| Merge Data Sources |
| Model SCD2 in dbt |
| Orchestrate with Airflow |
| Tune Spark Performance |
| Fix Distributed Skews |
| Enable Delta Time-Travel |
| Choose Storage Formats |
| Design Star Schemas |
| Normalize to 3NF |
| Master SQL Windows |
| Replicate Postgres Slots |
| Load Snowflake Incrementals |
| Resolve & Bisect in Git |
| Dockerize Spark & dbt |
| Install Airflow via Ansible |
| Ship Pipelines via CI/CD |
| Tune Postgres Performance |
| Assert Data Expectations |
| Trace Data Anomalies |
| Debug Python Pipelines |
| Build & Trace Pipelines |
| Optimize & Automate Pipelines |
| Master Table Transforms |
| Validate & Automate Transforms |
| Unify Data Sources |
| Tune Service Performance Insights |
| Design Robust Data Models |
| Craft Efficient Schemas |
| Scale Data Warehouses |
| Build Lakehouse Architecture |
| Speed Up Queries |
| Test & Advance SQL |
| Automate DB Development |
| Safe Data Manipulation |
| Manage Warehouse Resources |
| Administer Databases |
| Engineer Data Infrastructure |
| Ensure Data Validity |
| Improve Data Quality |
| Secure Data Assets |
| Drive Decisions with Data |
| Automate ML Pipelines Safely |
| Tune Service Performance Insights |
| Design Robust Data Infrastructure |
| Strengthen Data Governance Program |
| Secure Data with Zero Trust |
| Harden Application Security Practices |
| Standardize Enterprise Data Management |
| Build Multimodal ETL |
| Ensure Data Quality |
| Guard PHI & Message Securely |
| Protect Charts & Privacy |
| Grasp Coding Basics |
| SQL Flow Mastery |
| Wrangle JSON Quickly |
| Spark & Pandas Queries |
| Build Star Schemas Fast |
| Engage Metric Essentials |
| Data Decisions That Stick |
| Think Analytically Fast |
| Tell Stories with Data |
| Query SQL Like Pro |
| Manage Metadata Easily |
| Clean Data & Outliers |
| Enter Data Error-Free |
| Decide with Data |
| Craft Data Stories |
| Govern Data Correctly |
| Secure Analytics Assets |
| Map Audience Demographics |
| Target Winning Demographics |
| Storytell with Data |
| Survey & Segment Audiences |
| Set Winning KPIs |
Skills Required:
- SQL
- dbt
- Airflow
- Spark
- Hadoop
- Snowflake
- Postgres
- ETL
- Data Modeling
- Data Warehousing
- Database Normalization
- RDBMS
- Git
- System Performance Monitoring
- Data Governance
- Data Quality
- Privacy (PHI)
- Zero Trust
- Cloud Security
- Compliance Standards
- ETL Tools
- Apache Spark
- Data Lakehouse
- Delta Lake
- Data Governance
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 approx 20-25 minutes of video recording involved per course. Incorporate one round of internal and client feedback.
10. Provide digital signatures to be included on the client platform.
11. 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.
12. Be available for Client discussions and content discussions as and when required.
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/
