Launch Your Career in Data Engineering
What You’ll Learn
The Data Engineering Trainee Internship is a beginner-friendly program crafted for students and freshers who are passionate about managing, transforming, and optimizing data. You’ll gain hands-on experience with tools like SQL, Python, Apache Airflow, and cloud data platforms, learning how to build and manage modern data pipelines that power analytics and machine learning.
1. Building Scalable Data Pipelines
-Learn how to design and automate ETL (Extract, Transform, Load) workflows
-Use tools like Apache Airflow, Python scripts, or Cloud Functions
-Understand data ingestion from APIs, files, and databases
2. SQL for Data Engineering
-Master SQL querying for data cleaning, transformation, and aggregation
-Work with relational databases like MySQL/PostgreSQL
-Perform complex joins, window functions, and subqueries for pipeline logic
3. Python for Data Processing
-Use Python for data manipulation with libraries like Pandas
-Write scripts to automate data transformation tasks
-Implement logic for batch or streaming data processing
4. Introduction to Cloud Data Platforms
-Understand the basics of Google BigQuery, AWS Redshift, or Azure Synapse
-Learn about data warehouses, storage buckets, and cloud SQL
-Deploy simple data pipelines on the cloud
5. End-to-End Data Pipeline for E-Commerce Sales
-Ingest daily sales data from CSV files or APIs
-Clean and transform the data using Python and SQL
-Load the data into a cloud data warehouse (e.g., BigQuery)
-Schedule the workflow using Apache Airflow
Who Can Apply:
-Final-year students or fresh graduates
-Candidates looking to transition into data-related roles
-No coding experience required
Duration & Mode:
-5 to 6 weeks | Online
-Weekly tasks + mentor reviews
Deliverables:
-Internship Certificate
-Hands-on project (real-world dataset)
-Resume & LinkedIn review (optional)