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You will be updated with latest job alerts via emailRole Summary:
The Data Engineer will be responsible for building and maintaining the data pipelines that process data from CSV files through various transformation stages following the Architects data model designs. This role requires handson experience with data transformations working with large datasets and implementing robust ETL processes within AWS.
Key Responsibilities:
Develop ETL pipelines to process and transform data across bronze silver and gold layers.
Implement data cleansing validation and transformation processes to support analyticsready datasets.
Collaborate with the Sr. Data Engineer and Data Architect to ensure alignment with data models.
Optimize data workflows to improve processing times and resource utilization.
Skills and Qualifications:
Bachelors degree in Data Engineering Computer Science or related field.
35 years of experience in data engineering preferably within AWS environments.
Proficiency in PySpark SQL AWS Glue and S3.
Strong problemsolving skills and attention to detail.
Required Skills : Data AnalysisData Warehouse
Basic Qualification :
Additional Skills : Data Engineer
Background Check : No
Drug Screen : No
Full Time