Skillvedika
Databricks Tutor
Skills
19 hours ago
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Important information
Contract type:
Freelance / Contract, Part time
Location:
India
Work mode:
Remote
Published on:
22 October 2026
What they need
We are looking for a skilled and experienced Databricks Tutor to provide practical training to students and working professionals. The tutor should have strong knowledge of the Databricks platform, data engineering, Apache Spark, and cloud-based data processing, with the ability to explain concepts through hands-on exercises and real-world projects.
Key Responsibilities
- Teach Databricks fundamentals, architecture, and platform features.
- Provide hands-on training in Apache Spark, PySpark, and Spark SQL.
- Explain data engineering concepts, ETL/ELT pipelines, and data transformation.
- Train students on Databricks notebooks, workflows, Delta Lake, and Lakehouse architecture.
- Cover data ingestion, processing, storage, and optimization techniques.
- Guide students in building real-time and batch data processing pipelines.
- Provide practical assignments, project guidance, and interview preparation.
- Customize lessons according to students' learning goals and experience levels.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field is preferred.
- Strong knowledge of Databricks, Apache Spark, and data engineering.
- Hands-on experience with PySpark, SQL, and data processing workflows.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Previous teaching, mentoring, or industry experience is preferred.
- Excellent communication and problem-solving skills.
Preferred Skills
- Databricks Lakehouse Platform and Delta Lake.
- Python, PySpark, and Spark SQL.
- ETL/ELT pipelines and data integration.
- Databricks Workflows and job scheduling.
- Cloud data platforms, data warehousing, and performance optimization.
- Experience working on real-world data engineering projects.
Pay: ₹9,400.00 - ₹39,000.00 per month
Benefits:
- Flexible schedule
Work Location: Remote
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