Data Engineer

Data Engineer

  • Anywhere

Company Name:-
Sia Partners

Job Location:-
Charlotte, NC 28202 (Downtown Charlotte area)

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionCompany Description
Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to our clients.

With over 1,800 consultants across 18 countries, we provide advice and solutions across 30 sectors and services.

Our Augmented Consulting approach leverages expertise in management consulting, design and advanced technologies (DS, AI) to help our clients both accelerate growth and solve problems related to business strategy, people and processes, and digital transformation.

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 support our Heka team which is our internal accelerator for Data Science projects which includes a development framework, an automated integration & continuous deployment service (CI/CD), and a hosting & monitoring service for each project’s platform.

Within the Heka team, you will actively contribute to the technological, architectural and governance choices to meet the future challenges of scale-up.

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

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