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2 days ago
We are seeking a highly skilled professional with expertise in cloud-based data engineering and analytical technologies. The ideal candidate will have hands-on experience with Apache Spark, AWS ecosystem, Snowflake, and CI/CD tools.
This role involves designing, developing, and deploying scalable data pipelines using Apache Spark and its ecosystem, as well as developing and maintaining ETL processes for large datasets using AWS Glue, S3, and Redshift.
The successful candidate will collaborate with cross-functional teams to integrate data engineering solutions into the company's architecture, develop and implement data sharing and governance frameworks using Snowpipe, Streams & Tasks, Time Travel, and data sharing capabilities, and work closely with stakeholders to design and implement data visualization and reporting dashboards.
- 5-8 years of experience in data engineering with a strong background in cloud-based technologies is required.
- Proficiency in programming languages such as Python and SQL is also necessary.
- Experience with CI/CD tools and infrastructure-as-code (Terraform or CloudFormation) is desirable.
- A strong understanding of big data architectures and data management systems is essential.
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Cloud Data Engineer
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#Cloud-Based Development Expert
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Cloud Data Engineering Specialist
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