Enterprise Data Engineer
Skills
- Proficiency in data lifecycle engineering and ETL development.
- Experience with cloud and on-premises data storage and processing.
- Strong programming skills in Python, SQL, and Spark.
- Familiarity with Commercial Off-The-Shelf (COTS) and open source tools like ElasticSearch and NiFi.
- Ability to analyze and transform various data formats.
Responsibilities
- Develop tools, code, and services to perform data engineering activities with structured and unstructured data.
- Execute data ingestion and storage tasks across local and enterprise systems.
- Collaborate with Data Scientists to analyze source data formats and define transformation requirements.
- Develop and maintain ETL processes adhering to best practices and standards.
- Document ETL mappings, code guides, and access instructions for projects.
Education
- Bachelor's degree required.
Benefits
- Hands-on experience and professional growth opportunities through certifications and training.
- Comprehensive benefits package available.
- Inclusive and diverse work culture promoting equal opportunity and belonging.
Average salary estimate
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