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4 days ago
As a Data Engineer, you will be responsible for designing and developing robust data pipelines for processing channel activity data. This involves integrating multiple sources of data from digital channels using AWS cloud infrastructure.
- Design and develop solutions utilizing AWS services like Pyspark, Glue, EMR, lambda, Redshift, Athena, and other services like Iceberg.
- Collaborate with cross-functional teams to ensure seamless data ingestion and processing from various digital channels.
- Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
Strong hands-on experience with AWS technologies such as Pyspark, Glue, EMR, lambda, Redshift, Athena, EC2, and S3 is required.
- Proficiency in Python for data processing, automation, and pipeline development is essential.
- Experience with big data technologies like Hadoop and Terradata is highly desirable.
A degree in Computer Science, Engineering, or a related field is preferred.
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