Description

You will build and maintain data pipelines and machine learning models to drive business analytics.

Responsibilities

• Design, develop, and maintain ETL processes and data pipelines for integration and analytics.
• Develop and optimize data models for reporting and implement machine learning algorithms to solve business problems.
• Create and maintain dashboards and reports to provide actionable insights to stakeholders.
• Ensure data quality, integrity, and security across all platforms while troubleshooting pipeline issues.
• Implement data management best practices, including governance and documentation.

Required Skills

• 6+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and relational databases including SQL Server, MySQL, and PostgreSQL.
• Hands-on experience with ETL tools and data integration frameworks.
• Proficiency in Python.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.

Preferred Skills

• Experience with big data technologies like Hadoop and Spark.
• Proficiency in Power BI for data visualization.
• Familiarity with Azure cloud platforms and data warehousing concepts.

Key Skills

Education

Bachelor's degree