Data Engineer with Data Science

Responsibilities:

• Design, develop, and maintain robust data pipelines and ETL processes to support data integration and analytics.
• Collaborate with analysts and business stakeholders to understand data requirements and deliver effective solutions.
• Develop and optimize data models for analytics and reporting.
• Implement machine learning models and algorithms to solve complex business problems.
• Create and maintain dashboards and reports to provide actionable insights to business users.
• Ensure data quality, integrity, and security across all data platforms.
• Monitor and troubleshoot data pipeline issues to ensure timely and accurate data delivery.
• Implement best practices for data management, including data governance and documentation.

Qualifications:

• Bachelor’s degree in computer science, Data Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL).
• Hands-on experience with ETL tools and data integration frameworks.
• Proficiency in programming languages such as Python.
• Experience with machine learning frameworks and libraries like scikit-learn, TensorFlow, PyTorch.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Skills:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Proficiency in data visualization tools using Power BI.
• Familiarity with cloud platforms specifically Azure.
• Understanding of data warehousing concepts and tools