Senior Data Engineer/Data Analyst
Senior Data Engineer/Data Analyst
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1 Vacancy
Job Description
- 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.
- Education: Bachelors or Masters degree in Computer Science Engineering Statistics or a related quantitative field.
- Experience: 5 years of experience in a data engineering or data analyst role with a proven track record of working with large-scale data ecosystems.
- Technical Skills:
- Expert-level proficiency in Python and SQL.
- Hands-on experience with PySpark for big data processing.
- In-depth knowledge of the Databricks platform.
- Strong experience with AWS cloud services (e.g. S3 EC2 Redshift EMR).
- Demonstrated expertise in data visualization and reporting with Tableau or Power BI.
Employment Type
Full-time
