Senior Data Engineer with Python & SQL Skills

Step into a senior Data Engineer role focusing on developing data pipelines with Python and SQL. This position is ideal for experts in cloud technologies.
You'll be responsible for designing, optimizing, and maintaining scalable data workflows. Collaborate closely with various stakeholders to ensure data security and quality, while managing deployments on OpenShift and utilizing Azure Data Factory for process automation.
Key Responsibilities:
• Develop scalable data solutions using Python, PySpark, and SQL
• Optimize Snowflake database for efficient data management
• Integrate diverse data sources while ensuring security
• Utilize Azure Data Factory to automate workflows
• Manage containerized applications on OpenShift
Requirements:
• Bachelor’s or Master’s in Computer Science or equivalent
• At least 10 years in data engineering roles
• High proficiency in Python, PySpark, and SQL
• Experience with data orchestration and cloud platforms
• Strong understanding of data governance and security protocols
Leverage your extensive data engineering background to implement scalable and high-quality data solutions for enterprise initiatives.
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