
AWS Data Architect
2 days ago
The ideal candidate will be responsible for the design, development, and support of data pipelines and applications using AWS services. This includes creating robust ETL pipelines with PySpark, focusing on performance, scalability, and data quality.
- Designing and implementing scalable data architectures using AWS cloud services
- Developing and maintaining applications using Python and PySpark for data manipulation, transformation, and analysis
- Leading projects from planning to execution, testing, and documentation
- Collaborating with stakeholders to ensure successful project delivery
To succeed in this role, candidates should possess:
- At least 5 years of experience in data integration and pipeline development
- Experience with AWS Cloud, Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems
- Strong understanding of SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch
- Workflow management tools like Airflow
- Python development experience, especially in PySpark in AWS Cloud environment
Candidates with experience in Snowflake or Palantir Foundry are preferred but not required.
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