Data Engineer
About the role
- At least 8 years of experience designing and development of data solutions in enterprise environment
- At least 5+ years' experience working on Snowflake Platform
- Strong hands on SQL and Python development
- Experience with designing and development data warehouses in Snowflake
- Ability to diagnose and tune SQL queries - Azure Data Framework (azure data factory, etc.) knowledge is needed
- Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic
- Good understanding on Metadata and data lineage
- Hands on knowledge on SQL Analytical functions
- Strong knowledge and hands-on experience in Shell scripting, Java Scripting
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
