Description

Key Responsibilities

• Analyze business unit operations to identify process automation and improvement opportunities
• Translate high-level business requirements into functional specifications
• Design, develop, and maintain large-scale data pipelines and data lakehouse architectures
• Architect and manage Databricks environments including security, governance, and workflow automation
• Facilitate communication between business units and IT from requirements gathering through implementation
• Provide business reporting and analytical support using SQL-driven tools and Business Objects
• Conduct systems analysis using business process models and use cases
• Mentor and guide less experienced team members

Required Skills

• Data Engineering, Data Pipeline Design
• Databricks — large-scale pipeline management, Spark job optimization
• PySpark, Apache Iceberg, Parquet
• Python, Java, or Scala
• Azure Data Services
• Oracle SQL, SQL Server, ER Data Modeling
• CI/CD pipelines — Git, Bitbucket, Jenkins
• AWS or other cloud services integration
• Business Objects, SQL reporting

Preferred Skills

• Databricks Data Engineering Associate or Professional Certification
• Azure Certifications
• Lambda, Azure Data Factory, or similar managed services

Key Skills

Education

Bachelor's degree