Data Engineering Freshers / Graduates Remote / Telecommute

Data Engineering & Pipeline Intern

Join our data team to construct ETL data pipelines, manage Apache Spark clusters, and structure enterprise data warehouses.

Key Responsibilities & Tasks

  • Design and test SQL queries, data transformations, and ETL scripts.
  • Build big data processing workflows using PySpark and SQL.
  • Monitor data pipeline executions and validate data warehouse tables.

Required Skills & Qualifications

  • Good knowledge of SQL queries, joins, and relational database schemas.
  • Basic Python coding skills and interest in Big Data systems.
  • Understanding of data warehousing concepts.

Data Engineering & Pipeline Internship Roadmap

Every trainee at CACTS undergoes our structured 1-to-1 developer mentorship protocol to ensure direct transition from academic concepts to production-grade engineering workflows.

Phase 1

1-to-1 PySpark & SQL Warehouse Environment

Phase 2

Building ETL Data Pipelines & Kafka Streaming

Phase 3

Data Lakehouse Optimization & Schema Design

Phase 4

Enterprise Pipeline Deployment & Verification

Explore our Live Projects Internship Program, check the 1-to-1 Technical Syllabus, or verify credentials via our ISO 29993:2017 Certificate Verification Portal.

Want to master Big Data, PySpark & Data Warehousing?

Check out our 1-to-1 Data Engineering Program to build production ETL pipelines with PySpark, Hive, and SQL.

Explore Data Engineering Training >

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