Data Engineer - ODI - Azure - Bristol
- Recruiter
- Confidential
- Location
- Bristol
- Salary
- Inside IR35
- Posted
- 06 May 2021
- Closes
- 07 May 2021
- Sectors
- Engineering
- Contract Type
- Contract
- Hours
- Full Time
Data Engineer - ODI - Azure - Bristol.
My client are looking for a Data Engineer to join their Data & Business Intelligence team currently working on several business-critical projects positioning data. You'll be joining a team of multi-skilled engineers to apply expertise to the highest standards to meet our business end user's requirements.
You will have experience of the following:
* Successfully delivered data focussed solutions having been part of an Agile development team
* Built and supported data warehouse and data mart solutions using Oracle Data Integrator (ODI)
* Using your extensive skills, developed performant and sustainable code following good development practices
* Demonstrated an ability to understand end to end requirements to influence the design and build and to facilitate data driven insight
* Experience of Cloud platform environments and services preferably AWS (eg RDS, DMS and S3 Buckets)
Experience Required:
* Minimum 5 years of experience:
* Building, enhancing, supporting data warehouse solutions using Oracle 12c & 19c databases
* Proven technical ability in developing, enhancing, tuning and supporting ETL/ELT and data integration solutions Oracle Data Integrator 12c
* Strong experience with a PL/SQL experience including development of packages and procedures with robust error handling
* Star schema/Dimensional modelling
* Practical experience of developing within Snowflake would be advantageous
Desirable
* An understanding of streaming technologies such AWS DMS, Kafka or Golden Gate to enable Real Time analytics
* An understanding of Google Analytics structures, data collection and storage, GA API calling, extraction and load from GA into a custom warehouse
* Good knowledge of JSON manipulation in Oracle Database and Snowflake
* Experience of delivering a database application using Apex
* Some knowledge of common data manipulation Python/Spark libraries to create data pipelines would be advantageous
My client are looking for a Data Engineer to join their Data & Business Intelligence team currently working on several business-critical projects positioning data. You'll be joining a team of multi-skilled engineers to apply expertise to the highest standards to meet our business end user's requirements.
You will have experience of the following:
* Successfully delivered data focussed solutions having been part of an Agile development team
* Built and supported data warehouse and data mart solutions using Oracle Data Integrator (ODI)
* Using your extensive skills, developed performant and sustainable code following good development practices
* Demonstrated an ability to understand end to end requirements to influence the design and build and to facilitate data driven insight
* Experience of Cloud platform environments and services preferably AWS (eg RDS, DMS and S3 Buckets)
Experience Required:
* Minimum 5 years of experience:
* Building, enhancing, supporting data warehouse solutions using Oracle 12c & 19c databases
* Proven technical ability in developing, enhancing, tuning and supporting ETL/ELT and data integration solutions Oracle Data Integrator 12c
* Strong experience with a PL/SQL experience including development of packages and procedures with robust error handling
* Star schema/Dimensional modelling
* Practical experience of developing within Snowflake would be advantageous
Desirable
* An understanding of streaming technologies such AWS DMS, Kafka or Golden Gate to enable Real Time analytics
* An understanding of Google Analytics structures, data collection and storage, GA API calling, extraction and load from GA into a custom warehouse
* Good knowledge of JSON manipulation in Oracle Database and Snowflake
* Experience of delivering a database application using Apex
* Some knowledge of common data manipulation Python/Spark libraries to create data pipelines would be advantageous