
Senior Data Pipeline Developer
4 days ago
We are seeking a highly skilled Data Engineer to design, develop, test, and support data pipelines and applications using AWS cloud services.
- Key Responsibilities:
- Design and implement robust ETL pipelines using PySpark, focusing on performance, scalability, and data quality
- Translate business requirements into technical solutions using AWS cloud services and Python/PySpark
- Technical Requirements:
- Proficiency in Python and PySpark for data manipulation, transformation, and analysis
- Strong understanding of AWS services including EC2, S3, EMR, Glue, Redshift
- 5+ years of experience in data integration and pipeline development
- 5+ years of experience with AWS Cloud on data integration with Apache Spark, Glue, Kafka, Kinesis, and Lambda
- 3+ years of experience using SQL in related development of data warehouse projects/applications
Skill Set Requirements
- Mandatory Skills:
- Experience with Snowflake and Palantir Foundry
- Desirable Skills:
- Leadership skills, including project planning, execution, testing, and documentation
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