Senior Modern Data Engineer - Snowflake, United States - Quest for Knowledge

Description

Are you the person that

understands

why

traditional

data warehouses have to change not only to speed up development, improve agility, reduce costs but also to exploit new data

and integrate with other analytical platforms
Cloud data ingestion technologies as well as

data lakehouse and data mesh concepts

have your interest? Then don't hesitate to apply for a challenging future in modern data & analytics.
What You'll Do

Work as part of a team, or independently, to design and develop cloud-based data warehouses, data lakes, data lakehouses, and other data solutions
Gather technical requirements, assess client capabilities and analyze findings to provide suitable recommendations for data solutions and a strategy for their implementation
Enhance and support data platforms and collaborate to propose enhancements and optimization processes for SQL, ELT/ETL, and analytical procedures
Design and develop scalable data automation frameworks to ingest and transform a variety of data sets
Explore, evaluate, and suggest technical approaches to address complex challenges in data development and integration
Share expertise and/or develop competency in data automation concepts and techniques
Conduct assessments, workshops, design sessions and project meetings as needed, and execute proof-of-concepts and short-term technical consulting projects
Guide and mentor fellow team members in their efforts to develop data engineer skillsets
Sever as a subject matter expert in one of the most advanced and innovative data engineering tools available
What You'll Bring

Bachelor's degree in IT, applied mathematics, statistic or other relevant field, or an equivalent combination of education and practical experience
5+ years experience in data engineering/data warehousing, preferably within a consulting environment
2+ years of deep experience building cloud data solutions (Azure, AWS, GCP, Snowflake)
Demonstrated expertise in data modeling (3NF, Dimensional, Data Vault, etc.) and data architecture concepts such as metadata, workflow management, ETL/ELT, streaming data, and data quality

Proficient in setting up and operating ELT/ETL data pipelines by leveraging cloud-native services (AWS/GCP/Azure), open-source tools (like Airflow and Python), as well as utilizing ETL and data fabric tools.

Experience with Data Warehouse Automation is a nice to have.
Deep experience with SQL and ETL/ELT optimization
Practical and in-depth knowledge of BI tools to troubleshoot platform issues
Working knowledge of agile development including DevOps concepts
Self-starter with the ability to work independently or as part of a team
Strong problem-solving ability and passion to learn new technologies and analytics techniques
Non-negotiable: strong communication skills in Dutch

and

English
What's your score on this list? More than

6

/

10
Get in touch

Working at Quest for Knowledge

Every day, since 1999, Quest for Knowledge is working on improving the return on data.

We were the first company in Europe to partner with gurus like Ralph Kimball, deploying activities in the UK, the Benelux and Sweden.

Today, that attitude is unchanged:
we constantly look for best practices and solutions in analytics. This resulted in the mastering and implementation of modern data and analytics architectures.

This approach optimizes the return on data assets from the past as well as those from today and the future.

Our consultants practice what we preach: as Quest for Knowledge is focused on closing the knowledge gap that comes with rapid technological developments, we do exactly the same with our new hires.

When you choose Quest for Knowledge as your employer, we will analyze your skills and determine a development roadmap with you.

Be it technical skills, customer facing skills, or any other aspect of your skill set you may wish to develop.

Because working at Quest for Knowledge is also working on your own growth and your future as well as growth for our customers.

If you feel up to the challenge, send your application to .

Tell us briefly why you are interested in this position, along with your CV or a link to your LinkedIn profile.

We are active in Belgium, Netherlands, Norway, Sweden and the UK.

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