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Data Engineers in Fintech

Financial Data Pipelines with dbt & Snowflake

4 weeks
0 Learners
eulerfoldeulerfold
Jul 23

“Transforming raw financial data into auditable analytics without spreadsheet chaos. This comprehensive curriculum is designed to give you hands-on experience with Financial Data Pipelines with dbt & Snowflake.”

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About this Course

Transforming raw financial data into auditable analytics without spreadsheet chaos. This comprehensive curriculum is designed to give you hands-on experience with Financial Data Pipelines with dbt & Snowflake. This Data Engineers in Fintech curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 4 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Master the core concepts of financial data warehousing & snowflake architecture.
Gain hands-on experience with dbt project architecture & dimensional data modeling.
Understand the architecture behind data quality, auditing & financial reconciliation.
Implement production-grade ci/cd, zero-copy cloning & production orchestration.

Prerequisites

intermediate Level

Requires basic familiarity with the tech stack.

  • Familiarity with core concepts

Ideal for

Data Engineers in Fintech

Data Engineers
W1

Financial Data Warehousing & Snowflake Architecture

Master the core concepts of financial data warehousing & snowflake architecture.

3 videos•45m
2 readings
3 topics
1 homework
Learn

Topics

1.1
Snowflake Storage vs Compute Architecture
19 minutes
1.2
Designing Immutable Ledger & Fact Tables
15 minutes
1.3
Data Encryption, Masking Policies, and Role-Based Access Control (RBAC)
11 minutes

Study Resources

→Snowflake AI Data Cloud→Ivy Professional School | Official Blog Data Engineering Course Online...
W2

dbt Project Architecture & Dimensional Data Modeling

Gain hands-on experience with dbt project architecture & dimensional data modeling.

3 videos•60m
3 readings
3 topics
1 homework
Learn
W3

Data Quality, Auditing & Financial Reconciliation

Understand the architecture behind data quality, auditing & financial reconciliation.

3 videos•54m
3 readings
3 topics
1 homework
Learn
W4

CI/CD, Zero-Copy Cloning & Production Orchestration

Implement production-grade ci/cd, zero-copy cloning & production orchestration.

3 videos•43m
3 readings
3 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

References

01Snowflake AI Data Cloud
02Ivy Professional School | Official Blog Data Engineering Course Online...
03dbt Tutorial: Complete Guide for Data Engineers | Michael Oswald
04GitHub - VuDucCong18/fintech-transaction-analytics-dbt: End ...
05GitHub - Chrisstinaa7/fintech_dbt_project: The project ...
06Building a Financial Reconciliation System: Complete ...
07Financial Data Quality in Fintech: Operational Accuracy ...
08Data Quality Engineering for Fintech | The Algorithm
09CI/CD for Data Engineers — The Complete Guide You Wish You ...
10CI/CD Pipeline for Data Engineering with Git and Snowflake
11Mastering CI/CD for Data Engineering: A Complete Guide to ...

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