5 years

0 Lacs

Posted:15 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

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

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