Data Engineer

October 31, 2023

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Strategy • Data Strategy • Measurement Strategy • Data Engineering • Data Integration

201 - 500 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Description

• Support the alignment to scope, deliverables, and adherence to agreed-upon timelines to ensure the team is achieving business impact goals. • Communicate clearly and effectively with clients in both good and challenging situations. • Actively participate in business development activities, including client pitches, estimating work and creating project plans. • Create trusted partnerships with clients in order to consistently extend and expand our business relationships. • Develop sustainable solutions to share knowledge and experiences within the team. • Build the expertise of our team through mentoring, training, and sharing best practices. • Develop an understanding of all solutions. • Deliver solutions that drive measurable business impact. • Identify opportunities to bring additional value to our clients.

Requirements

• Proven history of working in a team environment creating data/cloud solutions. • Demonstrated proficiency in multiple programming languages such as Python, SQL, and noSql. • Deep experience working in one or more cloud data warehouses (i.e. Snowflake, Redshift, BigQuery, Azure). • Utilized pipeline and workflow management tools for data processing purposes (i.e. Airflow). • Working experience designing and architecting relational databases (RDBMS) and/or columnar databases. • Supported analytical reporting and/or data visualization tools such as Power BI, Tableau, Quicksight, or Looker.

Benefits

• Outstanding basics • Net-zero cost medical option • Company contributions to your HSA • Fertility support • Fully-paid parental leave • Monthly stipend for your lifestyle spending account • and much more