Data Engineer, Python - Java

Job not on LinkedIn

May 15

🌴 South Carolina – Remote

Although this job is listed in South Carolina, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

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Nexon Software Solutions

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Software • SaaS • IT Services

Nexon Software Solutions is a comprehensive IT services provider specializing in custom software development, app development, website development, and IT staffing solutions. The company aids businesses in digital transformation by offering innovative tech solutions and expert consulting in areas such as data engineering and quality assurance. With a customer-first approach and a commitment to excellence, Nexon is dedicated to enhancing client satisfaction through agile and tailored services that meet diverse business needs.

51 - 200 employees

Founded 2018

☁️ SaaS

📋 Description

• Represent the Data Operations Hub team in various forums, advising on Data Solutions. • Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. • Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making. • Evaluate and select data technologies, driving the adoption of emerging technologies. • Develop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives. • Serve as a subject matter expert in specific areas. • Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake. • Contribute to the data engineering community and advocate for agency data practices. • Engage in hands-on coding and design to implement production solutions. • Optimize system performance by resolving inefficiencies. • Design reusable data frameworks using new technologies.

🎯 Requirements

• Experience as Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. • Hands-on experience in system design, application development, and operational stability. • Expertise in architecture disciplines and programming languages. • Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering. • Practical experience with AWS/Azure services, and data engineering disciplines. • Advanced experience in one or more data engineering disciplines, e.g, ETL/ELT, event processing. • Proficiency in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres. • Strong problem-solving, communication, and interpersonal skills. • Ability to evaluate and recommend technologies for future state architecture.