BI Data Engineer

Who we are

• Skai (formerly Kenshoo) is a leading omnichannel marketing platform that uniquely connects data and performance media for informed decisions, high efficiencies, and optimal returns. Its partners include Google, Meta, Amazon Ads, TikTok, Snapchat, Walmart Connect, Instacart, Roundel, Criteo, CitrusAd, Pinterest, Microsoft, LinkedIn, Apple Search Ads, and more.
• We’re 700 employees strong and growing every day! ~$7 billion in ad spending is managed on the SkaiTM platform every year, driving hundreds of billions in commerce decisions and sales transactions.
• Established in 2006, we are a thriving organization, with a unique startup culture, an incredible track record of success, and an amazing future in sight!
• We are hybrid for the long term - with a great home/ office work mix, passionate and diverse team members, and a vibrant company culture.

The BI Data Engineer position at Skai

• The successful BI Data Engineer / Data Modeler will create new data solutions while supporting and enhancing existing ones.
• You’ll design, develop, and implement business requirements into actionable insights that will serve multiple stakeholders in the organization.
• This position offers an opportunity to build insightful data solutions in a rich data environment over big data technologies.
• Create real value from data and communicate it to the different stakeholders.
• Manage a data structure & model, which supports and reflects the actual business model.
• Own and manage multiple BI initiatives and projects both on an ongoing and an ad-hoc basis.
• Design, build, and test end-to-end Data models, Data flows, and data enrichment processes.
• Become a focal point for all data-related matters in the organization.

Requirements

• Bachelor's degree in a Computer Science/Information systems-related field required.
• 3+ years experience as a BI developer / Data Engineer in a Big Data environment.
• 3+ years of experience in designing and modeling DWH models.
• Scripting capabilities with Python.
• Experience in SQL tuning and ETL process improvements.
• Proficient in DWH methodologies and best practices.
• Highly skilled with SQL.
• Experience transforming data into visual insights and building dashboards in a BI platform (e.g. Tableau, QlikView, etc.)
• Great analysis abilities, energetic and fast learning with a "make it happen" approach.
• 2+ years experience in a tech leadership role- an advantage
• Experience with Snowflake - a big advantage
• Experience with Airflow (or other open-source data pipelines) - a big advantage
• Experience with CI/CD processes in Jenkins - an advantage
• Databricks, Kafka, Spark, Ansible, Docker - an advantage