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2 days ago
**Job Opportunity for Data Engineer - Sagemaker**
Key Responsibilities:- We are looking for an experienced data engineer to design, develop, test, and support complex data pipelines and applications using AWS services.
- Develop and maintain scalable data solutions using Python and PySpark for data manipulation, transformation, and analysis.
- Lead and manage projects from planning to execution, testing, and documentation.
- Migrate business requirements into technical solutions using AWS cloud services and Python/PySpark.
- 5+ years of experience in data integration and pipeline development.
- Familiarity with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems.
- Strong understanding of Python and its data science libraries, along with PySpark for distributed data processing.
- Proficiency in PL/SQL, T-SQL for data querying, manipulation, and database interactions.
As a data engineer at our organization, you will be responsible for architecting, developing, and deploying scalable and secure data pipelines and applications on the AWS Cloud platform.
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