As a Data Engineer at SADA, you will work collaboratively with key business leads, architects, analysts, and data scientists to understand the business domain and how data can empower them. You will engage with fellow engineers to develop and optimize data platforms, focusing on business intelligence and data engineering to ensure seamless data flows and insightful reporting.
Requirements
- 4+ year of experience in a Business Intelligence role, including data warehousing, business intelligence tools, data visualization tools, and data engineering technologies
- Experience with upgrading and migrating legacy BI Tools to data visualization tools like Tableau, Looker, etc.
- Experience gathering business requirements, using business intelligence tools to extract data, formulate metrics, and build reports
- Experience in designing and delivering cross-functional custom reporting solutions
- Proficiency with enterprise BI tools like Looker, MicroStrategy, Tableau, PowerBI, OBIEE, Domo, Superset etc
- Experience in cloud-based data engineering, including building and managing data pipelines using GCP services or similar (e.g., Databricks, dbt)
- Proficiency with query development (SQL) and optimization
Responsibilities
- develop and optimize data platforms, focusing on business intelligence and data engineering to ensure seamless data flows and insightful reporting
- propose, define, and develop metrics for business reporting and product/process performance monitoring to drive decision-making for our customers
- Engagements vary from consultative to hands-on work and cover a range of domain areas, including BI tool migrations, data pipeline engineering, and big data analytics solutions
- run point on whole projects, end-to-end
- build data pipelines using GCP services or similar (e.g., Databricks, dbt)
- embedding BI reports into customer portals
- developing automated functionality by interacting with BI tools programmatically using SDKs
Other
- Required Travel - <10% travel to customer sites, conferences, and other related events.
- Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly.
- mentor less experienced Data Engineers
- recognized as an expert within the team and will build a reputation with Google and our customers
- participate in early-stage opportunity qualification calls, as well as guide client-facing technical discussions for established projects
