We're looking for Data Engineers

Responsibilities:
Working alongside consulting teams and partners, engaging directly with clients to understand their business challenges
Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders
Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building
Advocating application of best practices in data engineering, code hygiene, and code reviews
Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects
Creating and maintaining documentation to support stakeholders and runbooks for operational excellence
Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities
Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them




Keeping up with emerging state-of-the-art data engineering techniques in your domain

Qualifications:
Bachelors or master s degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related)
Exposure to building cloud ready applications
Exposure to test-driven development and integration
Pragmatic and methodical approach to solutions and delivery with a focus on impact
Independent worker with ability to manage workload and meet deadlines in a rapid-paced environment
Collaborative team player
Excellent verbal and written communication skills and command of English
Willingness to travel
Respect for confidentiality

Technical Background
Prior experience in designing and deploying large-scale technical solutions
Fluency in modern programming languages (Python is mandatory; R, SAS desired)
Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2,

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