Associate Data Engineer in SQL
- 30 hrs
- 114K learners
Learn the fundamentals of data engineering: database design and data warehousing, working with technologies including PostgreSQL and Snowflake!
Career
Showcase your ability as a Certified Data Engineer. You will need to collect and pre-process large amounts of data, demonstrating you can get data into a format that is suitable for data users across an organization.
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Embark on your certification journey by registering today! Once registered, you'll have 30 days to conquer the timed exam and practical exam. To ensure you're fully prepared, we recommend taking the readiness quiz before the certification.
We will put your skills to the test with two timed exams. You will have two hours and two attempts at each exam to show you are ready. Not quite there? Don't worry, DataCamp's learning platform has everything you need to prepare and achieve your goals.


Once you've completed the timed exam, get ready to showcase your abilities in the practical exam. Dive into the sample exam beforehand to familiarize yourself with the format and expectations. You will have four hours and two attempts, and your exam will be automatically graded, letting you know your results in moments.
Congratulations! You've navigated through the challenging terrains of our certification journey, showcasing your expertise and commitment along the way. In this final step, bask in the glory of your achievements as you officially receive your Certification. This badge of excellence not only symbolizes your proficiency in the field but opens doors to new opportunities in your career.

The Data Engineer Associate Certification is your starting point to equip you with foundational knowledge required to be successful as a Data Engineer.
This Certification has a deadline of 30 days and the full requirements can be found here.
This exam evaluates your proficiency in data management theory, SQL data management, and exploratory analysis theory. To pass, you must interpret database schemas, explain database design concepts like normalization and data storage options, identify cloud tools for data storage and pipeline maintenance, perform data extraction, joining, and aggregation tasks, clean and prepare data for analysis, assess data quality and perform validations, and use data visualization tools to demonstrate data characteristics and feature relationships.
The practical exam evaluates your skills in SQL data management. You will complete tasks related to a business problem and return data according to specific requirements. To pass, you must perform data extraction, joining, and aggregation tasks, clean data for analysis, and assess data quality and perform validation tasks.
The Data Engineer Certification verifies that individuals have acquired the knowledge and skills required of entry-level Data Engineers.
This Certification has a deadline of 30 days and the full requirements can be found here.
This exam is the same as the Associate level exam.
The exam covers Data Management and Programming for Data Engineering in Python. It includes identifying cloud tools for data storage and pipelines, performing data import, joining, aggregation, and cleaning tasks, assessing data quality, and collecting data from non-standard formats. Additionally, it tests the ability to write repeatable production-quality code, demonstrate best practices in version control, testing, and package development, and apply software engineering principles like OOP, profiling, and debugging to write efficient, modular code in Python.
The practical exam tests your knowledge, skills, and abilities in Data Management and Programming for Data Engineering using Python. It combines multiple competencies from the timed exam without introducing new domains. You'll be given a single task related to a real-world scenario, requiring you to apply all the competencies covered in the certification.
Learn the fundamentals of data engineering: database design and data warehousing, working with technologies including PostgreSQL and Snowflake!
Learn the fundamentals of data engineering: database design and data warehousing, working with technologies including PostgreSQL and Snowflake!
Gain in-demand skills to efficiently ingest, clean, manage data, and schedule and monitor pipelines, setting you apart in the data engineering field.
Once you’re certified, you’ll get access to our exclusive certification community. You’ll be able to connect with other certified professionals and explore content curated just for you by our community team.
Your career upgrade is waiting. Sign up today to sharpen in-demand data engineering skills and join a community of ambitious professionals.
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