Data Engineer W2
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Job Location:
St. Louis, MO - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
- 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
