
Principal Data Architect
2 weeks ago
We are seeking an experienced Data Engineer to join our team.
- Develop and maintain large-scale data processing systems using Python and PySpark.
- Design and implement scalable data architectures to support business growth.
- Collaborate with cross-functional teams to integrate data into business applications.
- 5+ years of overall IT experience, including hands-on experience in Big Data technologies.
- Hands-on experience in Python, PySpark, AWS, Amazon EMR, Amazon Athena, AWS Glue, Amazon Lambda, Amazon EC2, Amazon S3, and other relevant tools.
- Good understanding of data warehousing concepts, including dimensions, facts, schemas, snowflake, and star.
- Experience with columnar storage formats, such as Parquet, Avro, and ORC, and compression techniques, like Snappy and Gzip.
- Knowledge of AWS databases, including Aurora, RDS, Redshift, ElastiCache, and DynamoDB.
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
Please note that the ideal candidate will have a strong passion for data engineering and a desire to learn and grow with the company.
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Principal Data Architect
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Business Data Architect
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