Description

Design and maintain data pipelines and business intelligence solutions using Python, PySpark, SQL, and SAS.

Responsibilities

• Build and maintain robust data pipelines using Python and PySpark for complex data processing.
• Query, manipulate, and analyze data using SQL and SAS to extract actionable business insights.
• Develop and maintain interactive dashboards and visualizations using Tableau.
• Configure and support business process automation applications using Appian and Xceptor.
• Establish data quality standards, monitor integrity, and implement corrective actions for consistency.

Required Skills

• 5+ years of experience in data engineering, business intelligence, or related analytical roles.
• Strong proficiency in Python and PySpark for data processing and pipeline development.
• Advanced SQL and SAS skills for complex querying and data manipulation.
• Experience with Tableau for dashboard creation and data visualization.
• Hands-on experience with Appian for business process management and automation.
• Familiarity with Xceptor for intelligent data capture and extraction.
• Proven track record in data quality initiatives and governance frameworks.

Preferred Skills

• Certifications in Tableau, Appian, or relevant data technologies.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.

Key Skills

Education

Any Graduate