
Highly Skilled Data Architect
2 days ago
We are seeking an experienced Data Engineer - AWS to lead our organization's data pipeline initiatives.
About the Role:
- Create and maintain scalable data pipelines using a range of AWS services, including EC2, S3, EMR, Glue, and Redshift.
- Develop applications in Python and PySpark for efficient data manipulation, transformation, and analysis.
- Manage projects from conception to completion, ensuring successful outcomes through effective planning, execution, and testing.
- Translate business requirements into technical solutions using AWS cloud services and Python/PySpark.
- Collaborate with cross-functional teams to drive project success.
Requirements:
- A minimum of 5 years of experience in data integration and pipeline development.
- Proven expertise in working with AWS Cloud on data integration, utilizing tools like Apache Spark, Glue, Kafka, Kinesis, and Lambda within S3, Redshift, RDS, MongoDB/DynamoDB ecosystems.
- Detailed understanding of Python and its data science libraries, as well as PySpark for distributed data processing.
- Proficiency in PL/SQL and T-SQL for database interactions.
- Excellent written and verbal communication skills.
Preferred Qualifications:
- Experience with Snowflake and Palantir Foundry would be advantageous.
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