What are the responsibilities and job description for the Data Engineer position at Sia Partners?
Job Description
Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
You will also contribute to internal Data Science projects posted on Heka, our internal accelerator for Data Science projects. As part of the global Data Science team you will contribute to the development of various solutions designed to address our clients' needs.
Key Responsibilities
Partner with our client’s leadership teams, engineers, program managers and data analysts to understand data needs.
Design, build and launch efficient and reliable data pipelines transforming data into useful report ready datasets.
Communicate at scale, through multiple mediums: presentations, dashboards, client-wide datasets, bots and more.
Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing data gaps, build monitors to detect data quality issues and partner to establish a self-serve environment.
Broad range of partners equates to a broad range of projects and deliverables, including ML Models, datasets, measurements, services, tools and process.
Leverage data and business principles to automate data flow, detect business exceptions, build diagnostic capabilities, and improve both business and data knowledge base.
Build data expertise and own data quality for your areas.
Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
You will also contribute to internal Data Science projects posted on Heka, our internal accelerator for Data Science projects. As part of the global Data Science team you will contribute to the development of various solutions designed to address our clients' needs.
Key Responsibilities
Partner with our client’s leadership teams, engineers, program managers and data analysts to understand data needs.
Design, build and launch efficient and reliable data pipelines transforming data into useful report ready datasets.
Communicate at scale, through multiple mediums: presentations, dashboards, client-wide datasets, bots and more.
Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing data gaps, build monitors to detect data quality issues and partner to establish a self-serve environment.
Broad range of partners equates to a broad range of projects and deliverables, including ML Models, datasets, measurements, services, tools and process.
Leverage data and business principles to automate data flow, detect business exceptions, build diagnostic capabilities, and improve both business and data knowledge base.
Build data expertise and own data quality for your areas.
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