Build real batch and streaming data pipelines on the cloud — from Airflow and dbt to Kafka, Flink and a multi-cloud lakehouse. This Hyderabad paid internship is project-based and mentor-led, with AI, cyber security and cloud built into the track as mandatory parallel modules.

What You'll Build

Airflow + dbt + Delta Lake batch pipeline (S3 → Redshift)
Real-time streaming pipeline (Kafka → Flink CEP → Delta Lake)
Multi-cloud data lakehouse (AWS + Azure + GCP)
Data Mesh + DataHub catalog + GDPR erasure pipeline
Agentic data-pipeline orchestrator (LangGraph + MCP)

Every project is deployed to AWS, Azure or GCP with a real URL and lives on your GitHub.

Curriculum

Foundations

Advanced SQL & Python, Airflow (TaskFlow), dbt Core, Delta Lake ACID + time travel.

Streaming

Kafka, Debezium CDC, Spark Structured Streaming, Flink exactly-once, Kinesis/Event Hubs.

Cloud Data Platforms

AWS Glue/Athena/Redshift/EMR, Azure Synapse/Databricks/Fabric, GCP BigQuery/Dataflow.

Architecture & Governance

Data Mesh, Iceberg/Hudi, Feast, DataHub/Purview lineage, GDPR/CCPA pipelines.

AI for Data Engineering

LangGraph orchestrator, NL2SQL, MCP servers, AIOps for pipelines.

Throughout, you also do daily DSA (100+ problems), system design, mock interviews, and resume/LinkedIn preparation.

Internship Fee Structure

Standard (day scholar): Rs.6,000/month while training + Rs.80,000 after a confirmed job offer.
Residential (live-in): Rs.11,000/month while training (accommodation + meals included) + Rs.80,000 after a job offer.

The Rs.80,000 success fee is due only after a confirmed job offer letter. There is no time limit on support — Cloud Soft supports you until you are placed (we say support until placed, not "guaranteed placement").

Placement Outcomes

Roles: Data Engineer · Analytics Engineer · dbt Developer · Streaming Engineer · Data Platform Engineer.

Typical placement salary: Rs.6–28 LPA.

Get Started

Call or WhatsApp 9666019191 for a free 30-minute assessment. See the full internship program, the residential option, and our data engineering internship guide.