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Company | Rapid IT |
Address | , |
Employment type | |
Salary | |
Expires | 2023-10-18 |
Posted at | 8 months ago |
:
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives
Qualifications for Data Engineer:
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Strong analytic skills related to working with unstructured dataset
- Experience with AWS cloud compute services: EC2, Glue , Athena,,Quicksight, Lambda, Redshift Experience with AWS Cloud database/storage services: RDS, S3, Lake Formation Experience with object-oriented/object function scripting languages: Python, Java
- They should also have experience using the following software/tools:
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience with relational SQL and NoSQL databases: RDS, DynamoDB, Experience with data pipeline and workflow management tools: Glue ETL , Step Functions, Airflow, etc.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Required Skills:
Ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Experience with relational SQL and NoSQL databases: RDS, DynamoDB, Experience with data pipeline and workflow management tools: Glue ETL , Step Functions, Airflow, etc. Experience with AWS cloud compute services: EC2, Glue , Athena,,Quicksight, Lambda, Redshift Experience with AWS Cloud database/storage services: RDS, S3
Ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Experience with relational SQL and NoSQL databases: RDS, DynamoDB, Experience with data pipeline and workflow management tools: Glue ETL , Step Functions, Airflow, etc. Experience with AWS cloud compute services: EC2, Glue , Athena,,Quicksight, Lambda, Redshift Experience with AWS Cloud database/storage services: RDS, S3
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