Job Description

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

Candidate Requirements:

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
Work Location: In person