Data Engineer

Face to face interview

Mandatary experience with PENTAHO

Responsibilities

• Data Pipeline Development and Management : Design, construct, install, test, and maintain highly scalable data management systems. Develop and optimize ETL / ELT pipelines using PySpark and Databricks to process large volumes of structured and unstructured data.
• Cloud Infrastructure : Utilize AWS services for data storage, computation, and orchestration, ensuring a reliable and efficient data infrastructure.
• Data Analysis and Insights : Collaborate with business stakeholders to understand customer experience challenges and opportunities. Analyze complex datasets to identify trends, patterns, and insights related to customer behavior, network performance, product usage, and churn.
• Business Use Case Analysis : Apply your analytical skills to various customer experience use cases, including :
• Churn Prediction : Develop models to identify customers at risk of leaving and understand the underlying drivers.
• Network Experience : Analyze network performance data to identify and address areas of poor customer experience.
• Personalization : Enable data-driven personalization of marketing communications, offers, and customer support interactions.
• Billing and Service Inquiries : Analyze inquiry data to identify root causes of customer confusion and drive improvements in billing and service clarity.
• Reporting and Visualization : Create compelling and insightful reports and dashboards using Tableau or Power BI to communicate findings to both technical and non-technical audiences.
• Data Governance and Quality : Ensure data accuracy, completeness, and consistency across all data platforms. Implement data quality checks and best practices.
• Collaboration and Mentorship : Work closely with cross-functional teams, including product, marketing, and engineering, to deliver data-driven solutions. Mentor junior team members and promote a culture of data-driven decision-making.

Qualifications