Data Engineer - W2

Job Summary (List Format) :

• Design, develop, and maintain large-scale data processing systems.
• Work primarily in on-premises environments for data engineering solutions.
• Utilize strong hands-on expertise in Apache Spark for data processing tasks.
• Develop and optimize ETL / ELT pipelines and workflow orchestration processes.
• Implement data ingestion solutions using Apache NiFi or similar orchestration tools.
• Work with various database technologies, including SQL and / or NoSQL databases.
• Leverage familiarity with Hadoop and related big data frameworks.
• Collaborate with local or relocating team members in a W2 (no C2C) employment setup.