Application Support Engineer
Core
Design, develop, and optimize scalable ETL pipelines and workflows using Databricks, Python, and SQL to handle large datasets and deliver business-driven data solutions.
Role type
Senior Data Engineer (Databricks)
Builds
Scalable data pipelines, data models, automated workflows, and dashboards/reports
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Databricks, PySpark, ETL, Data Warehousing, Cloud Platforms (Azure/AWS/GCP), Git, BI Tools (Power BI/Tableau)
Preferred skills
Machine Learning workflows within Databricks
Technologies
Databricks, Python, SQL, PySpark, Power BI, Tableau, Azure, AWS, GCP, Git
Responsibilities
Design and optimize ETL pipelines and workflows; Handle large-scale datasets ensuring performance and integrity; Translate business requirements into robust data models and scripts; Implement data transformations and automation; Collaborate with analysts and stakeholders to deliver insights; Build dashboards and reports; Ensure data governance and security compliance; Document processes and solutions.
Seniority
Senior, hands-on IC