Company:
Satwic Inc
Location: Los Angeles
Closing Date: 20/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
QUALIFICATIONS AND DUTIES
The ideal candidate must thrive on working in a fast-paced environment and demonstrate the following:
Experience with various software development tools and other related methodologies.
Technical knowledge and experience in analytics tool and applications of data pipelines in a multi-cloud environment.
Experience with CI/CD processes as they pertain to analytics tools.
Experience working with analytics and machine learning teams, supporting them with secure delivery of data to perform their jobs.
Experience in defining and implementing data governance, data integration, data privacy and data integrity policies.
Expertise in architecting cloud-native data warehouses, data pipelines, data transformation, data models, analytics and reporting platforms.
Experience in Snowflake, dbt, Power BI, Client/AI modelling is highly preferred.
Responsibilities:
1) Design and implement data pipeline in a multi-cloud environment.
2) Create secure interfaces both internally and externally to support analytics and machine learning.
3) Guide developers on CI/CD processes as they pertain to analytics software.
4) Participate in technical discussion, product demonstrations and provide guidance on data pipeline subject matter expertise on compliance to business needs and technical requirements. 5) Interact with stakeholders to ensure design, integration, quality, and deployment expectations are being met, exceeded or non-compliance.
6) Work closely with technical teams to ensure solutions are well-architected and can be successfully delivered.
7) Coordinate and lead internal solution design review processes.
8) Act as a technical liaison with third-party vendors to understand integration requirements and implement custom solutions.
9) Learning and understanding of new and cutting-edge technologies for utilization within product development and lifecycles.
10) Define and implement technical roadmap and strategies for migrating on-prem data platforms to cloud.
The ideal candidate must thrive on working in a fast-paced environment and demonstrate the following:
Experience with various software development tools and other related methodologies.
Technical knowledge and experience in analytics tool and applications of data pipelines in a multi-cloud environment.
Experience with CI/CD processes as they pertain to analytics tools.
Experience working with analytics and machine learning teams, supporting them with secure delivery of data to perform their jobs.
Experience in defining and implementing data governance, data integration, data privacy and data integrity policies.
Expertise in architecting cloud-native data warehouses, data pipelines, data transformation, data models, analytics and reporting platforms.
Experience in Snowflake, dbt, Power BI, Client/AI modelling is highly preferred.
Responsibilities:
1) Design and implement data pipeline in a multi-cloud environment.
2) Create secure interfaces both internally and externally to support analytics and machine learning.
3) Guide developers on CI/CD processes as they pertain to analytics software.
4) Participate in technical discussion, product demonstrations and provide guidance on data pipeline subject matter expertise on compliance to business needs and technical requirements. 5) Interact with stakeholders to ensure design, integration, quality, and deployment expectations are being met, exceeded or non-compliance.
6) Work closely with technical teams to ensure solutions are well-architected and can be successfully delivered.
7) Coordinate and lead internal solution design review processes.
8) Act as a technical liaison with third-party vendors to understand integration requirements and implement custom solutions.
9) Learning and understanding of new and cutting-edge technologies for utilization within product development and lifecycles.
10) Define and implement technical roadmap and strategies for migrating on-prem data platforms to cloud.
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