Verified IT Work Experience Program

Cloud Data Engineering & Snowflake Data Warehousing Internship

Build automated cloud data pipelines, serverless Snowpipe ingestion, Kimball star schemas, and modern dbt transformations on live Snowflake environments.

3 - 6 Months
Online / On-site
Experience Letter + LOR
1-on-1 Lead Mentorship
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Role Overview

Step into the role of a Cloud Data Platform Engineer. In this Cloud Data Engineering & Snowflake Data Warehousing Internship, you will work on live multi-cloud infrastructure across AWS and Snowflake. Operating inside structured agile sprints, you will build automated serverless Snowpipe ingestion pipelines, model Kimball star schemas, implement modern dbt transformation workflows with automated testing, and enforce enterprise data governance. Under direct mentorship from senior data platform architects, you will deliver a production-grade data platform capstone.

Tools & Stack You Will Use

Snowflake Data Cloud Advanced SQL AWS S3 & Cloud Stages Snowpipe Continuous Ingestion dbt (data build tool) Kimball Dimensional Modeling Streams & Tasks (CDC) Dynamic Data Masking (RBAC)

What You Will Receive

  • Verified Experience Certificate: Company-issued credential recognizing duration.
  • Letter of Recommendation (LOR): Signed recommendation from tech lead for top performers.
  • Production GitHub Repos: Live pull requests, commits, and verified public repositories.
  • Interview & Placement Support: Direct client interview opportunities & referrals.

Eligibility & Candidates

  • Final year & pre-final engineering/IT students
  • Fresh graduates looking for company experience
  • Career switchers seeking real-world portfolios

Commercial Projects You Will Build

Real-world product blueprints and enterprise deliverables

1 Cloud Tenancy Onboarding, IAM Federation & Git Flow

Live Milestone
  • Dedicated cloud workspace provisioning across AWS S3 and Snowflake Enterprise
  • Configuring least-privilege IAM storage integrations, external IDs, and trust policies
  • Enterprise Git branching strategy (main, staging, feature branches) and SQLFluff linter enforcement
  • Setting up virtual warehouse compute parameters, auto-suspend timers, and local development clients

2 Serverless Ingestion Engineering with Snowpipe & Variant Parsing

Live Milestone
  • Building event-driven continuous ingestion pipelines with Snowpipe and AWS SQS event listeners
  • Parsing high-throughput semi-structured JSON, Parquet, and Avro logs into landing tables
  • Querying nested JSON documents using colon notation and array extraction with LATERAL FLATTEN
  • Designing error alerting mechanisms, retry queues, and COPY_HISTORY ingestion performance audits

3 Modern Data Transformation Pipelines with dbt (data build tool)

Live Milestone
  • Structuring multi-tier dbt architectures: Staging (stg_), Intermediate (int_), and Marts (fct_/dim_)
  • Implementing incremental materialization models with sync_all_columns change handling
  • Writing custom Jinja macros, surrogate key generators, and automated schema tests (not_null, unique)
  • Generating interactive data lineage graphs and pipeline documentation artifacts

4 Dimensional Modeling & Slowly Changing Dimensions (SCD Type 2)

Live Milestone
  • Translating complex business processes into Kimball Star Schemas (Fact tables and Dimension tables)
  • Implementing Slowly Changing Dimensions (SCD Type 2) using automated dbt Snapshots
  • Preserving historical truth: dbt_valid_from, dbt_valid_to, and active record tracking flags
  • Optimizing query performance through clustering depth analysis and partition pruning validation

5 Change Data Capture (CDC), Table Streams & Zero-Copy Sandboxing

Live Milestone
  • Tracking transactional mutations (INSERT, UPDATE, DELETE) using native Snowflake Streams
  • Automating continuous ELT merges with CRON-scheduled multi-step Snowflake Tasks
  • Zero-Copy Cloning: Instantly spinning up multi-terabyte production data clones for QA validation
  • Continuous Data Protection: Time Travel state inspection (AT/BEFORE) and disaster recovery tests

6 Enterprise Governance, CI/CD Quality Gates & Capstone Defense

Live Milestone
  • Security Architecture: Designing Role-Based Access Control (RBAC) functional hierarchies
  • Protecting PII: Implementing Dynamic Data Masking and Row-Level Access Policies
  • Building automated GitHub Actions CI/CD workflows for dbt Slim CI and PR test verification
  • Commercial Capstone Defense: End-to-End Enterprise Cloud Data Warehouse & Real-Time Telemetry Platform

Agile Work Culture & Daily Routine

How you collaborate inside your developer pod each week

1

Daily Standups & Sprints

Participate in 15-minute morning standups, track sprint backlog items in Jira, and define daily feature goals.

2

Feature Engineering

Write clean, modular code following design patterns, database migrations, and API contract specifications.

3

PR Reviews & Quality Gates

Submit GitHub pull requests, receive 1-on-1 feedback from senior tech leads, and pass automated CI test pipelines.

4

Cloud Staging & Demo

Deploy live containerized features to cloud staging environments and demonstrate working software during sprint reviews.

Limited Seats Per Batch

Start Your Professional Journey Today

Join our Cloud Data Engineering & Snowflake Data Warehousing Internship and gain verified company work experience, senior mentorship, and a production-grade portfolio.

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