DAS42 is looking for a strategic and technically proficient Data Engineer Consultant to help clients unlock the full value of their data by designing and implementing scalable data solutions, advising on data environment optimization, and translating business objectives into technical strategies.
Requirements
- Exposure to developer tools/workflow (e.g. git/github, SSH).
- Knowing how to get around a command line environment.
- Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
- Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
- Experience with data warehousing and using Snowflake.
- Experience optimizing database/query performance.
- Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.
Responsibilities
- Design and implement scalable data solutions, from data models and ETL pipelines to cloud data warehouses and BI tools.
- Advise clients across industries on how to optimize their data environments, translate business objectives into technical strategies, and support long-term data infrastructure.
- Guide clients on optimizing their data environment to work most effectively and efficiently for them.
- Clarify management objectives through data solutions.
- Develop system engineering, integrations, and architectures based on client needs.
- Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
- Develop a data model around stated use cases to capture client's KPIs and data transformations.
Other
- 4 to 6 years* of work experience in a data analytics or data engineering role.
- A passion for exploring and solving different kinds of problems.
- A desire to learn and assimilate technical information quickly.
- Project management (eg. Basecamp, JIRA, ASANA).
- Worked for a consulting/services organization (preferred).
