Data Engineering – Megasoft Technologies

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Overview

Course Description

Focused training on building and managing data pipelines and infrastructure.
Learn to design, construct, and maintain scalable data solutions.
Hands-on projects for practical experience with industry tools and frameworks.

Who Can Take This Course?

IT professionals transitioning to data-focused roles.
Software developers expanding into data engineering.
Data analysts seeking to work with large-scale data systems.
Students with a background in computer science, engineering, or related fields.

Job Opportunities

Data Engineer
Big Data Developer
Cloud Data Engineer
Data Architect
ETL Developer
Database Administrator

Course Curriculum

Foundations of Data Engineering:

Data systems and architecture basics.
Tools: SQL, Python, Linux basics.

Data Storage & Processing:

Databases: Relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra).
Data warehousing: Snowflake, Redshift, BigQuery.

Data Pipelines & Workflow Management:

ETL/ELT processes.
Tools: Apache Airflow, Luigi.

Big Data Technologies:

Hadoop ecosystem, Apache Spark.
Distributed data processing and storage.

Cloud Computing:

Data engineering on AWS, Azure, GCP.
Cloud storage, compute services, and data pipelines.

Data Security & Governance:

Data privacy laws and compliance.
Implementing security protocols.

Capstone Project:

Build and deploy an end-to-end data engineering solution

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