Senior Data Engineer
AI summary of the role
Senior Data Engineer role at Ekimetrics, a global AI and marketing effectiveness consultancy.
What you’ll do
- Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.
- Transform and harmonize data from diverse sources (APIs, CSV, JSON, databases, cloud platforms).
- Build and industrialize cloud-based data solutions for reliable, analytics-ready datasets.
- Define and implement data architectures, QA, validation, and monitoring processes.
What you’ll bring
- Bachelor's or Master's in Data Science, CS, Engineering, or related field with 4-6 years of data engineering experience.
- Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management).
- Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.
- Experience with Azure required; GCP or AWS a plus.
Technologies
Databricks · Delta Lake · Spark · Asset Bundles · Unity Catalog · Cluster Management · Python · SQL · Bash · Azure · PowerBI · Tableau
Employer postings · Data from · Sources