Posted in Information Technology 30+ days ago.
Type: Full-Time
Location: Peoria, Illinois
Create and maintain data pipeline architecture that meet functional and non functional requirements
2. Build the infrastructure required for extraction, transformation, and ingestion for various SQL and No-SQL database
3. Interface with Client Business Unit/SME, coordinate with Data Modelers/Designers, reporting and offshore team to drive the end-to-end AWS related architecture/design and transformation requirements
4. Develop Batch and Real time Pipelines using AWS Services particularly Glue, SQS/SNS,Kinesis, Lambda, Athena, StepFunctions,DynamoDB, S3 and EMR
5. Develop/Configure Tables, Views, Procedures, Stage and Pipes in Snowflake for pipeline integration
6. Build processes supporting data transformation, data ingestions using Python
7. Configure/Deploy/Maintain Data pipelines related infrastructure using AWS CloudFormation
Technical Skills
SNo | Primary Skill | Proficiency Level * | Rqrd./Dsrd. |
1 | IoT Machine Learning - Python | PL1 | Required |
2 | Snowflake | PL1 | Required |
3 | AWS Lambda | PL1 | Required |
Domain Skills
SNo | Primary Skill | Proficiency Level * | Rqrd./Dsrd. |
1 | Production Plng&Ctrl-Ind Mfg | NA | Required |
* Proficiency Legends
Proficiency Level | Generic Reference |
PL1 | The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. |
PL2 | The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. |
PL3 | The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. |
PL4 | The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill. |
American Water
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American Water
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Paragon Systems, Inc
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