Data Engineer III
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• W2 Candidates Only, No Third-Party / Vendor Candidates Accepted
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• Job Summary:
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data management systems that align with business needs and industry best practices. This role involves implementing high-performance algorithms, integrating emerging technologies, and optimizing data acquisition processes. A strong understanding of data mining, predictive modeling, and database management is essential.
Primary Responsibilities:
• Design, develop, install, test, and maintain data management systems.
• Build and optimize high-performance algorithms, predictive models, and software prototypes.
• Ensure data systems comply with business requirements and industry standards.
• Integrate emerging data management and software engineering technologies into existing infrastructures.
• Develop and implement efficient processes for data mining, modeling, and production.
• Create custom software components and analytics applications to enhance data capabilities.
• Explore innovative ways to utilize existing data for business insights.
• Utilize various programming languages and tools to enable seamless system integration.
• Collaborate with cross-functional teams, including data architects, IT professionals, and data scientists, to achieve project objectives.
• Implement and maintain disaster recovery procedures.
• Continuously recommend and apply improvements to enhance data reliability and quality.
Qualifications:
• Bachelor’s degree in a technical field or equivalent work experience.
• Proficiency in relational and non-relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.).
• Experience in backend programming and system architecture (Java, J2EE, etc.).
Technical Skills:
Must-Have:
• DataStage
Nice-to-Have:
• Snowflake
• SQL experience
•
•
• W2 Candidates Only, No Third-Party / Vendor Candidates Accepted
•
•
• Job Summary:
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data management systems that align with business needs and industry best practices. This role involves implementing high-performance algorithms, integrating emerging technologies, and optimizing data acquisition processes. A strong understanding of data mining, predictive modeling, and database management is essential.
Primary Responsibilities:
• Design, develop, install, test, and maintain data management systems.
• Build and optimize high-performance algorithms, predictive models, and software prototypes.
• Ensure data systems comply with business requirements and industry standards.
• Integrate emerging data management and software engineering technologies into existing infrastructures.
• Develop and implement efficient processes for data mining, modeling, and production.
• Create custom software components and analytics applications to enhance data capabilities.
• Explore innovative ways to utilize existing data for business insights.
• Utilize various programming languages and tools to enable seamless system integration.
• Collaborate with cross-functional teams, including data architects, IT professionals, and data scientists, to achieve project objectives.
• Implement and maintain disaster recovery procedures.
• Continuously recommend and apply improvements to enhance data reliability and quality.
Qualifications:
• Bachelor’s degree in a technical field or equivalent work experience.
• Proficiency in relational and non-relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.).
• Experience in backend programming and system architecture (Java, J2EE, etc.).
Technical Skills:
Must-Have:
• DataStage
Nice-to-Have:
• Snowflake
• SQL experience
