Data Engineer
Core
Design, build, and maintain scalable data pipelines and establish a centralized data platform using Databricks to support business applications and analytics.
Role type
Data Engineer (Platform Setup & Pipeline Development)
Builds
Centralized data platform, production-grade data pipelines, and data integration solutions for business applications.
Domain
Data Engineering, Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Databricks, SQL, Python, Spark, Data Governance, Data Pipeline Design, Data Integration, Testing Standards, Data Quality Frameworks
Preferred skills
Experience with Salesforce, HubSpot, Tableau, Mulesoft, Data360, Agentforce, M&A data integration
Technologies
Databricks, SQL, Spark, Python, Jira, Confluence, Miro, Tableau, Mulesoft, Data360, Agentforce
Responsibilities
Design and build scalable data pipelines; Develop ingestion, transformation, and optimization solutions; Lead data mapping from legacy systems; Establish data governance standards and testing frameworks; Support M&A data integration; Maintain documentation and data quality practices.
Seniority
Mid-Senior, hands-on IC
