Senior Data Engineer for Client Solutions

About

Drive data innovation as a Senior Data Engineer in a hybrid role. Focus on integrating data sources to create client-centric platforms that enhance analytics and reporting capabilities.

This position entails developing a comprehensive data platform, emphasizing 360-degree customer insights. You will integrate multiple data sources, including MDM and CRM, ensuring high standards of data quality and governance. The role demands hands-on expertise in technologies like Azure Databricks, PySpark, and SQL, alongside experience leading engineering teams.

Key Responsibilities:

• Develop and integrate client data products
• Create a 360-degree view of customer data
• Standardize multi-source client data ingestion
• Ensure data governance and quality standards
• Mentor and lead data engineering teams

Requirements:

• 5+ years of experience in data engineering
• Proficient with Azure Databricks and Py Spark
• Strong grasp of data modelling and governance
• Experience with CI/CD and API integrations
• Hands-on skills in Python and SQL

Shape the future of client data solutions by harnessing cutting-edge technology and best practices in data engineering.