IT Trainer

**About Invicta Learning**:
Invicta Learning is a premier upskilling partner focused on delivering industry-relevant, hands-on training programs that prepare learners for the evolving tech landscape. We are conducting a comprehensive **Data Engineering with AWS** program aimed at building core competencies in cloud-based data engineering tools and platforms.

**Program Overview**:
This 40-day intensive training program focuses on building foundational to advanced skills in data engineering using AWS. The curriculum includes SQL, Data Warehousing, ETL/ELT, Python, Spark, AWS Glue, Redshift, Athena, Databricks, Airflow, and more. The program is enriched with power skills sessions and assessments to ensure learner readiness for real-world deployment.

**Key Responsibilities**:

- Deliver end-to-end training on the **Data Engineering with AWS** curriculum as per Invicta’s standardized content.
- Facilitate hands-on sessions and practical labs on tools such as **SQL, Python, Spark, AWS Glue, Athena, Redshift, Databricks, Airflow**, and related services.
- Guide learners through **data modeling, ETL pipelines, real-time analytics, and data lake implementations** using AWS.
- Provide mentorship, doubt-clearing sessions, and code reviews to support learners’ growth.
- Conduct module-level and sprint-level **assessments**, ensuring learner performance tracking.
- Work closely with program coordinators to maintain daily attendance, learner engagement, and feedback loops.
- Support in learner evaluations through quizzes, coding challenges, and mock interviews.
- Keep learners updated on **industry best practices, tools, and career tips** related to data engineering.
- Encourage a **collaborative, interactive, and inclusive** learning environment.

**Curriculum Highlights**:
You will be expected to train learners on topics including but not limited to:

- **SQL (Oracle & ANSI SQL)**: DDL, DML, Joins, Views, Subqueries, Transactions
- **Data Warehousing & BI Concepts**: OLAP, OLTP, Star/Snowflake Schema, Data Vault
- **ETL/ELT Processes**: Architecture, Tools (AWS Glue, DMS), Metadata Handling
- **Programming in Python**: Data structures, Functions, File I/O, OOPs, Regex
- **AWS Fundamentals**: IAM, EC2, S3, RDS, VPC, Monitoring
- **Spark & PySpark**: RDDs, DataFrames, DAGs, SparkSQL, Streaming
- **AWS Data Services**: Glue, Athena, Redshift, Kinesis, Data Pipeline
- **Databricks**: Workspace, Jobs, Clusters, Data Lake Integration
- **Airflow & Step Functions**: Workflow orchestration and automation
- Minimum **5 years of experience** in data engineering, cloud technologies, or related training delivery.
- Proven expertise in **AWS Data Services**, Spark, and Python programming.
- Strong knowledge of **Data Warehousing principles, ETL/ELT design**, and modern data architecture.
- Hands-on experience with **Databricks, Airflow, Glue, Athena, Redshift**, and other AWS data tools.
- Excellent presentation, communication, and facilitation skills.
- Prior experience in **classroom or virtual training delivery** is preferred.
- Certifications such as **AWS Certified Data Analytics, AWS Solutions Architect**, or equivalent are a plus.

**Preferred Skills**:

- Exposure to **real-time data processing** tools like Kinesis, Kafka, or Spark Streaming.
- Understanding of **data security, compliance, and monitoring** in AWS.
- Familiarity with **deployment pipelines and containerized environments** is a plus.

**Perks**:

- Work with a dynamic and passionate team of trainers.
- Opportunity to upskill further with Invicta's partner ecosystem.
- Competitive compensation and performance incentives.

**Job Type**: Contractual / Temporary
Contract length: 40 days

Pay: ₹700.00 - ₹800.00 per hour

Schedule:

- Day shift

**Experience**:

- Training & development: 2 years (required)
- IT: 2 years (required)

**Language**:

- English (required)

**Location**:

- Mumbai, Maharashtra (required)

Work Location: In person