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Data Engineer Creating Scalable Data Solutions and Pipelines
Job Description & How to Apply Below
In this role, you will build and support data lakes and warehouses while collaborating with cross-discipline teams. Engage closely with Data Architects and cybersecurity teams to ensure secure data handling practices and optimal data integrity. Your expertise in frameworks like Python and Azure will help automate processes and boost data delivery efficiency.
Key Responsibilities:
• Build and product ionize scalable data ELT/ETL pipelines
• Collaborate on integrated data ingestion and curation
• Clean and optimize datasets for performance
• Provide production support for ingestion and transformation
• Document and maintain data products for enterprise use
Requirements:
• University degree in Computer Science or related field
• Proven experience as a Data Engineer
• Proficient in Python, Spark, and SQL
• Familiar with Azure Stack services
• Effective communication skills for stakeholders
Utilize your technical expertise to drive data innovations that facilitate customer-centric solutions and enhance operational efficiencies.
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