Data Engineer - Intermediate

The Data and Visualization team is looking for a Data Engineer with a strong analytical focus. This position is ideal for a professional who enjoys technology and has a genuine interest in both data development and dashboard reporting/development. The ideal candidate will act as a bridge between data engineering and business intelligence, ensuring that information is transformed into actionable strategic decisions.

What you’ll do

• Design and implement robust data models and architectures, ensuring data quality, scalability, and performance.

• Manage project progress, metadata collection, development, and management with moderate supervision.

• Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences, adhering to data visualization best practices and design principles.

• Lead key efforts in data interpretation, trend identification, and analysis of large datasets to drive business decisions and growth.

• Design and implement robust data models and architectures, ensuring data quality, scalability, and performance. This may involve working with data warehouses, data lakes (Cloud) , and various data sources.

• Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences, adhering to data visualization best practices and design principles.

• Continuously explore new technologies and techniques to improve BI processes and deliver innovative solutions.

What experience you need 

• Education & Experience: Completed Bachelor’s degree in a related field with 2+ years of experience as a Data/ML Engineer (or related role).

• Data & ML Engineering: 2+ years of advanced SQL, cloud data lakes (BigQuery, Snowflake, Redshift), and building/optimizing ML data pipelines.

• Visualization & Storytelling: 2+ years of experience with data visualization tools (Looker preferred, Tableau, Power BI) and delivering data insights to both technical and non-technical audiences.

• Cloud Platform: 6+ months of experience with Google Cloud Platform (GCP).

• Language: Minimum English proficiency B2.

What could set you apart

• Knowledge and experience developing or implementing Machine Learning (ML) models using Python, BigQuery ML, Vertex AI, etc. 

• Cloud certification is strongly preferred.

• Business Intelligence Certifications: Tableau Desktop Specialist, Tableau Server Certified Associate, or Power BI Data Analyst Associate.

• Strong hands-on experience with Python data manipulation libraries, specifically Pandas and NumPy.

• 1+ years of experience developing and implementing machine learning models using Python or SQL, with a solid foundation in data modeling techniques.

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