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Cherre Software Engineer United States, New York, New York
Develop and Maintain Applications: Design and implement high-quality, scalable declarative applications using Python and Kubernetes, ensuring seamless user experiences. Automate and scale data centric operations and process. API Design and...
Conduct internal and external security audits based on standard cybersecurity frameworks such as ISO 27002, COBIT, NIST, OWASP and Cloud Security Alliance;. Perform vulnerability testing, risk analyses and security assessments...
Provide pre-sales support for qualified opportunities and POC (proof of concept) process for the Orca Cloud Security solution. Deliver technical presentations of the offering to new potential customers. Collaborate with...
Optimize the existing data platform for both performance and reliability. Optimize SQL/NoSQL database queries, stored procedures, triggers, user defined functions, analytic functions, etc. Read and Optimize Query Plans. 7-10 years...
Develop and oversee the implementation of advanced data observability frameworks to ensure comprehensive monitoring and analysis of data systems. Mentor and guide data engineering teams in the adoption and integration...
Write clean, high quality, testable, secure, maintainable and extendable code. Solve items such as challenging bugs and production issues within the development environment. Work on complex issues where analysis of...
Develop and Maintain Applications: Design and implement high-quality, scalable declarative applications using Python and Kubernetes, ensuring seamless user experiences. Automate and scale data centric operations and process. API Design and...
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.