We are seeking an experienced highly articulate and hands-on Technical Trainer to design develop and deliver robust training programs across our cloud data engineering modern lakehouse architectures and database administration this role you will lead technical upskilling initiatives for both fresh graduates and experienced professionals converting complex operational architectures into structured production-ready corporate
curriculam.
The ideal candidate possesses practical real-world experience across multi-cloud ecosystems (Azure GCP AWS) data lakehouse architectures (Databricks) modern data warehousing systems (Snowflake BigQuery) traditional relational databases (Oracle MySQL SQL Server) and core ETL/ELT methodologies.
Experience Requirement: 612 Years
Employment Type: Full-Time
Core Responsibilities:
Classroom Instruction & Learning Delivery
Technical Lecture & Lab Facilitation: Lead advanced hands-on instructional cohorts for heterogeneous batches adapting delivery formats seamlessly for fresh engineering graduates up to seasoned IT professionals.
Databricks & Lakehouse Architectures: Deliver deep-dive training on Apache Spark PySpark Databricks Workspaces Delta Lake and Unity Catalog. Teach cohorts how to build scalable optimized batch and streaming data pipelines within a lakehouse framework.
Cloud Data Architecture: Instruct on end-to-end data pipelines using Microsoft Azure (Data Factory Synapse Analytics) Google Cloud Platform (BigQuery Compute Engine GKE) and AWS foundational data services.
Data Warehousing & ETL Frameworks: Deliver comprehensive curricula on modern cloud data warehouses like Snowflake alongside legacy ETL middleware systems such as Informatica PowerCenter.
RDBMS & Production DBA Operations: Teach deep-dive database concepts across Oracle (11g/12c/19c) Microsoft SQL Server MySQL and PostgreSQL. Provide training on performance tuning SQL/PL-SQL execution structures (stored procedures packages triggers) RMAN backup/recovery and Automatic Storage Management (ASM).
Data Operations & Automation: Train cohorts on core operational automation workflows including Unix/Linux basics shell scripting job scheduling mechanisms logging error handling and incident reporting tools (e.g. ServiceNow).
Curriculum Architecture & Content Creation
Build evaluate and maintain rigorous technical syllabi instructional decks and sandbox lab architectures modeled after industry standards and certification metrics (such as Databricks Certified Data Engineer Associate/Professional Azure DP-203 and Oracle Certified Associate paths).
Translate real-world application frameworks (e.g. multi-tier system architectures real-time streaming data or legacy database migrations) into clear digestible project-based training modules.
Performance Management & Training Governance
Measure grade and monitor cohort technical performance using metrics-based scorecards to ensure training programs translate directly into client-project and production readiness.
Coordinate closely with delivery managers and corporate stakeholders to map specific technical skill gaps and continuously adapt material to evolving project pipelines.
Technical Profile & Qualifications
Education & Experience
Education: Bachelors Degree in Engineering Computer Science Information Technology or a related field.
Experience: 612 years of overall professional experience combining corporate training technical education data engineering or senior database administration roles.
Required Domain Knowledge
Key Technical Focus Areas
Databricks & Spark Ecosystem: Strong hands-on proficiency with Databricks Apache Spark (PySpark/Spark SQL) Delta Lake ACID transactions data optimization techniques (Z-Ordering caching) and Lakehouse governance (Unity Catalog).
Database Systems & Languages: Advanced mastery of SQL and PL-SQL. Proficient with Oracle DB engines MySQL SQL Server and PostgreSQL. Strong understanding of query optimization and database tuning.
Cloud Ecosystems: Strong conceptual and hands-on familiarity with Microsoft Azure Data tracks (ADF ADLS Gen2) Google Cloud infrastructure (BigQuery) and basic AWS resources.
Data Warehousing & ETL: Practical knowledge of Snowflake or Google BigQuery analytics alongside legacy Informatica PowerCenter workflow patterns.
Programming & Automation: Strong proficiency in Python (especially for data manipulation via Pandas/PySpark). Familiarity with Core Java basics or C paired with a solid understanding of Windows and Unix/Linux shell scripting environments.
Preferred Certifications (A Big Plus)
Databricks Certified Data Engineer Associate / Professional
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Oracle Certified Professional (OCP) / Oracle Certified Associate (OCA)
Required Skills:
- Bachelors degree in Computer Science Engineering or a related field. - Strong proficiency in Python programming language and its associated frameworks (e.g. Django Flask). - Experience in front-end technologies such as HTML CSS JavaScript and modern JavaScript frameworks (e.g. React Angular ). - Solid understanding of web technologies including HTTP RESTful APIs and web security. - Proficiency in database design and development using SQL and familiarity with ORMs (). - Familiarity with version control systems (e.g. Git) and collaborative development workflows. - Knowledge of software engineering principles design patterns and best practices. - Experience with cloud platforms (e.g. AWS Azure) and deployment of web applications. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration abilities. - Ability to work effectively in a fast-paced and dynamic environment. Good to have Qualifications: - Experience in building scalable and distributed systems. - Familiarity with containerization and orchestration technologies (e.g. Docker Kubernetes). - Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. - Experience with Agile development methodologies.
Role OverviewWe are seeking an experienced highly articulate and hands-on Technical Trainer to design develop and deliver robust training programs across our cloud data engineering modern lakehouse architectures and database administration this role you will lead technical upskilling initiatives fo...
Role Overview
We are seeking an experienced highly articulate and hands-on Technical Trainer to design develop and deliver robust training programs across our cloud data engineering modern lakehouse architectures and database administration this role you will lead technical upskilling initiatives for both fresh graduates and experienced professionals converting complex operational architectures into structured production-ready corporate
curriculam.
The ideal candidate possesses practical real-world experience across multi-cloud ecosystems (Azure GCP AWS) data lakehouse architectures (Databricks) modern data warehousing systems (Snowflake BigQuery) traditional relational databases (Oracle MySQL SQL Server) and core ETL/ELT methodologies.
Experience Requirement: 612 Years
Employment Type: Full-Time
Core Responsibilities:
Classroom Instruction & Learning Delivery
Technical Lecture & Lab Facilitation: Lead advanced hands-on instructional cohorts for heterogeneous batches adapting delivery formats seamlessly for fresh engineering graduates up to seasoned IT professionals.
Databricks & Lakehouse Architectures: Deliver deep-dive training on Apache Spark PySpark Databricks Workspaces Delta Lake and Unity Catalog. Teach cohorts how to build scalable optimized batch and streaming data pipelines within a lakehouse framework.
Cloud Data Architecture: Instruct on end-to-end data pipelines using Microsoft Azure (Data Factory Synapse Analytics) Google Cloud Platform (BigQuery Compute Engine GKE) and AWS foundational data services.
Data Warehousing & ETL Frameworks: Deliver comprehensive curricula on modern cloud data warehouses like Snowflake alongside legacy ETL middleware systems such as Informatica PowerCenter.
RDBMS & Production DBA Operations: Teach deep-dive database concepts across Oracle (11g/12c/19c) Microsoft SQL Server MySQL and PostgreSQL. Provide training on performance tuning SQL/PL-SQL execution structures (stored procedures packages triggers) RMAN backup/recovery and Automatic Storage Management (ASM).
Data Operations & Automation: Train cohorts on core operational automation workflows including Unix/Linux basics shell scripting job scheduling mechanisms logging error handling and incident reporting tools (e.g. ServiceNow).
Curriculum Architecture & Content Creation
Build evaluate and maintain rigorous technical syllabi instructional decks and sandbox lab architectures modeled after industry standards and certification metrics (such as Databricks Certified Data Engineer Associate/Professional Azure DP-203 and Oracle Certified Associate paths).
Translate real-world application frameworks (e.g. multi-tier system architectures real-time streaming data or legacy database migrations) into clear digestible project-based training modules.
Performance Management & Training Governance
Measure grade and monitor cohort technical performance using metrics-based scorecards to ensure training programs translate directly into client-project and production readiness.
Coordinate closely with delivery managers and corporate stakeholders to map specific technical skill gaps and continuously adapt material to evolving project pipelines.
Technical Profile & Qualifications
Education & Experience
Education: Bachelors Degree in Engineering Computer Science Information Technology or a related field.
Experience: 612 years of overall professional experience combining corporate training technical education data engineering or senior database administration roles.
Required Domain Knowledge
Key Technical Focus Areas
Databricks & Spark Ecosystem: Strong hands-on proficiency with Databricks Apache Spark (PySpark/Spark SQL) Delta Lake ACID transactions data optimization techniques (Z-Ordering caching) and Lakehouse governance (Unity Catalog).
Database Systems & Languages: Advanced mastery of SQL and PL-SQL. Proficient with Oracle DB engines MySQL SQL Server and PostgreSQL. Strong understanding of query optimization and database tuning.
Cloud Ecosystems: Strong conceptual and hands-on familiarity with Microsoft Azure Data tracks (ADF ADLS Gen2) Google Cloud infrastructure (BigQuery) and basic AWS resources.
Data Warehousing & ETL: Practical knowledge of Snowflake or Google BigQuery analytics alongside legacy Informatica PowerCenter workflow patterns.
Programming & Automation: Strong proficiency in Python (especially for data manipulation via Pandas/PySpark). Familiarity with Core Java basics or C paired with a solid understanding of Windows and Unix/Linux shell scripting environments.
Preferred Certifications (A Big Plus)
Databricks Certified Data Engineer Associate / Professional
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Oracle Certified Professional (OCP) / Oracle Certified Associate (OCA)
Required Skills:
- Bachelors degree in Computer Science Engineering or a related field. - Strong proficiency in Python programming language and its associated frameworks (e.g. Django Flask). - Experience in front-end technologies such as HTML CSS JavaScript and modern JavaScript frameworks (e.g. React Angular ). - Solid understanding of web technologies including HTTP RESTful APIs and web security. - Proficiency in database design and development using SQL and familiarity with ORMs (). - Familiarity with version control systems (e.g. Git) and collaborative development workflows. - Knowledge of software engineering principles design patterns and best practices. - Experience with cloud platforms (e.g. AWS Azure) and deployment of web applications. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration abilities. - Ability to work effectively in a fast-paced and dynamic environment. Good to have Qualifications: - Experience in building scalable and distributed systems. - Familiarity with containerization and orchestration technologies (e.g. Docker Kubernetes). - Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. - Experience with Agile development methodologies.
Job Location:
Monthly Salary:
Experience Required:
Posted on:
Vacancies:
