Data Engineer
Elite WorkForce•Chicago, IL
•Hybrid
About The Position
We are seeking a Data Engineer to design, build, and maintain ETL/ELT pipelines for data processing. This role involves working with big data technologies, building scalable data solutions on cloud platforms, and collaborating with data analysts to ensure data accuracy and usability. The ideal candidate will optimize data storage, performance, and architecture for high efficiency.
Requirements
- Strong experience with Python, SQL, and data modeling.
- Hands-on experience with Spark, Kafka, or other big-data tools.
- Knowledge of cloud services such as AWS Redshift, S3, Glue, Azure Data Factory, or BigQuery.
- Familiarity with Airflow or other orchestration tools.
- Strong problem-solving and data engineering best practices.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines for data processing.
- Work with big data technologies like Spark, Hadoop, or Kafka.
- Build scalable data solutions on AWS, Azure, or GCP.
- Collaborate with data analysts and teams to ensure data accuracy and usability.
- Optimize data storage, performance, and architecture for high efficiency.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
