Data Engineering : Python, SQL, Snowflake, and ETL Focus Mastery

admin@academe
Last Update October 25, 2024

About This Course

Unlock your potential with a comprehensive Data Engineering program designed to equip you with job-ready skills. This course focuses on mastering the essential tools and technologies, including Python, SQL, Snowflake, and ETL pipelines, ensuring you gain hands-on experience to thrive in the modern data-driven landscape.

With companies increasingly relying on cloud-based data architectures, mastering data warehousing and real-time pipelines is essential for staying ahead. This course prepares you for high-demand data engineering roles, providing a structured path to earn industry-recognized certifications and practical experience through capstone projects.

Why Choose This Data Engineering Program?

  • Comprehensive Learning Path: Covers everything from Python automation to Snowflake data warehousing and ETL/ELT workflows.
  • Cloud Expertise: Gain real-world skills with AWS services, Snowflake, and dbt, used by leading organizations.
  • Certification Preparation: Get fully prepared for certifications such as SnowPro® Core and AWS Cloud Practitioner.
  • Job-Ready Curriculum: Hands-on projects simulate real-world data challenges, building the skills required for mid-level to advanced roles.
  • Career Support: Access mock interviews, resume workshops, and certification reviews to boost job placement success.

Who Should Enroll?

  • Beginners and Career Switchers: Ideal for those starting out or transitioning into data engineering roles.
  • Data Analysts and Developers: Perfect for professionals looking to upgrade their skills and move into data engineering.
  • Cloud and IT Professionals: Gain the tools to build scalable data pipelines using Python, SQL, and AWS Lambda.

Career Opportunities and Outcomes

Completing this course opens doors to a wide range of high-demand data engineering roles. With practical experience in building batch pipelines, data warehouses, and real-time data streams, you’ll be prepared to take on positions such as:

  • Data Engineer
  • ETL Developer
  • Cloud Data Engineer
  • Data Architect
  • Big Data Engineer

The course also provides the skills required for advanced roles involving cloud platforms like AWS and Snowflake, giving you a competitive edge in the job market.

Certifications You’ll Be Ready For

  • SnowPro® Core Certification: Validate your Snowflake expertise in data warehousing and management.
  • AWS Cloud Practitioner: Demonstrate foundational cloud knowledge with AWS.
  • dbt Certification: Showcase your ability to build ELT workflows with dbt.

Key Benefits of This Course

  • High-Demand Skills: Develop in-demand skills, including Python, SQL, and ETL automation, highly valued by employers.
  • Hands-On Learning: Build a portfolio with projects on batch and real-time pipelines, showcasing your abilities to potential employers.
  • Industry-Relevant Tools: Learn to use Snowflake, dbt, AWS Lambda, and Kafka to design modern data workflows.
  • Flexible Learning: Self-paced modules with 24/7 access and expert instructor support.
  • Job Assistance: Get help with resume writing, interview preparation, and certification reviews to secure your first or next job in data engineering.

Learning Objectives

Learning Path and Outcome
Python Proficiency: Automate ETL workflows and interact with Snowflake.
SQL Mastery: Query, optimize, and transform data within Snowflake.
ETL Expertise: Build and automate data pipelines using dbt and Python.
Snowflake Knowledge: Master data warehousing concepts and prepare for certifications.
Job Readiness: Gain practical experience through projects and interview prep.

Curriculum

13 Lessons

Week 1: Python and SQL Foundations (10 Hours)

Outcome: Students will develop strong foundations in Python and SQL while getting comfortable with Snowflake for querying data.
Python Basics for Data Engineering (5 Hours)00:00
SQL Basics (5 Hours)00:00

Week 2: Advanced SQL and Python Integration with Snowflake (10 Hours)

Week 3: ETL Fundamentals with Python and Snowflake (10 Hours)

Week 4: Building ETL Pipelines with dbt and Snowflake (10 Hours)

Week 5: Intermediate Project – Batch ETL with Python, dbt, and Snowflake (10 Hours)

Week 6: Capstone Project + Job Preparation (10 Hours)

Your Instructors

admin@academe

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