Data Engineer / Data Architect
Budget: ₹2,500 – ₹0 INR
As a Data Architect / Data Engineer Trainer, you will be responsible for delivering engaging and informative training sessions on a variety of data engineering topics. The ideal candidate has over 15 years of experience and is eager to share their expertise to help others grow in this rapidly evolving field.
Key Responsibilities:
Develop and deliver training sessions on the following topics:
Apache Spark
PySpark
FastAPI
Spark NLP
Databricks or Snowflake
Integrations with cloud platforms (AWS, GCP)
Data virtualization (Starburst)
Data modeling (Apache Iceberg, Parquet, JSON)
Data Lakehouse architecture (Spark and Flink)
Apache Airflow
Oracle GoldenGate, Informatica
Flask Framework, Docker, Kubernetes
Pandas
Control-M for scheduling
MLOps in Data Engineering and Machine Learning Models
DataOps, Data Observability/Quality/Monitoring (Monte Carlo)
Create comprehensive training materials, including presentations, documentation, and hands-on exercises.
Engage with trainees through interactive discussions and Q&A sessions.
Assess trainee progress and provide constructive feedback.
Stay updated with the latest trends and best practices in data engineering and cloud technologies.
Qualifications:
15+ years of experience as a Data Architect, Data Engineer, or in a similar role.
Expertise in the technologies and tools listed above.
Strong communication and presentation skills.
Passion for teaching and mentoring others.
Ability to simplify complex concepts for diverse audiences.
Full Day Training Availability.
Table of Contents:
For a detailed overview of the training topics and modules, please refer to our Table of Contents.
https://docs.google.com/spreadsheets/d/1y3YYdgqopvozYLw980C6pjSTWJuCKvQy/edit?usp=sharing&ouid=116225090411272857455&rtpof=true&sd=true.
If you are enthusiastic about sharing your knowledge and helping others advance their careers in data engineering, we’d love to hear from you! Please send your resume and a brief cover letter detailing your experience and training philosophy
Key Responsibilities:
Develop and deliver training sessions on the following topics:
Apache Spark
PySpark
FastAPI
Spark NLP
Databricks or Snowflake
Integrations with cloud platforms (AWS, GCP)
Data virtualization (Starburst)
Data modeling (Apache Iceberg, Parquet, JSON)
Data Lakehouse architecture (Spark and Flink)
Apache Airflow
Oracle GoldenGate, Informatica
Flask Framework, Docker, Kubernetes
Pandas
Control-M for scheduling
MLOps in Data Engineering and Machine Learning Models
DataOps, Data Observability/Quality/Monitoring (Monte Carlo)
Create comprehensive training materials, including presentations, documentation, and hands-on exercises.
Engage with trainees through interactive discussions and Q&A sessions.
Assess trainee progress and provide constructive feedback.
Stay updated with the latest trends and best practices in data engineering and cloud technologies.
Qualifications:
15+ years of experience as a Data Architect, Data Engineer, or in a similar role.
Expertise in the technologies and tools listed above.
Strong communication and presentation skills.
Passion for teaching and mentoring others.
Ability to simplify complex concepts for diverse audiences.
Full Day Training Availability.
Table of Contents:
For a detailed overview of the training topics and modules, please refer to our Table of Contents.
https://docs.google.com/spreadsheets/d/1y3YYdgqopvozYLw980C6pjSTWJuCKvQy/edit?usp=sharing&ouid=116225090411272857455&rtpof=true&sd=true.
If you are enthusiastic about sharing your knowledge and helping others advance their careers in data engineering, we’d love to hear from you! Please send your resume and a brief cover letter detailing your experience and training philosophy