Data Engineer - Advanced Analytics

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Work with structured and unstructured data from multiple sources.
• Develop data transformation and processing solutions using Python and SQL.
• Design and implement efficient data models for analytics and reporting.
• Develop and maintain Power BI dashboards, reports, and visualizations.
• Perform data analysis and identify trends, patterns, and business insights.
• Work with cloud-based data platforms and data engineering services.
• Ensure data quality, accuracy, consistency, and reliability.
• Optimize SQL queries, data pipelines, and data processing workflows.
• Collaborate with data scientists, analysts, business teams, and technical stakeholders.
• Troubleshoot data pipeline and integration issues.
• Maintain technical documentation and follow data engineering best practices.
• Support production deployments and resolve data-related issues.

Required Skills

• Strong experience in Data Engineering / Advanced Analytics.
• Hands-on expertise in Python and SQL.
• Experience with ETL/ELT processes and data pipelines.
• Strong understanding of data modeling and database concepts.
• Hands-on experience with Power BI.
• Experience working with cloud data platforms.
• Good knowledge of data analysis and visualization.
• Strong analytical and problem-solving skills.
• Ability to work in a 3rd shift environment.
• Good communication and stakeholder management skills.