Client Services - Partnerships and Platforms - Experienced Professional
At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.
AlixPartners has embraced a hybrid work model to provide flexibility and support our employees' work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.
What you'll doThe Data Engineer is a self-directed engineer passionate about data engineering, architecture, and data sets to enable use case realization at scale. This person can identify and work with data across a variety of formats and make the data available to an equally varied set of customers: consultants, data scientists, AI/ML services, and web-based applications. The engineer fundamentally understands data ingestion techniques and the engineering necessary to push those frameworks to maximize the value of data. This person is comfortable working with, deploying, and managing data solutions using cloud-based technologies.
The Data Engineer is a Full Time Employee role located in Buenos Aires.
Outcomes:
Design, build, and maintain sustainable data pipelines for firm-wide data sets, supporting discovery and consumptionEnsure data access for users, applications, and services to make informed decisions and business case optimizationsIdentify critical gaps and develop ETL processesBe a domain expert in stored data and use casesWhat you'll needBachelor's degree in computer science or related field4+ years of experience with RDBMS (e.g. Postgres, MySQL, Oracle)2+ years of experience building data solutions on Azure and other data / analytical platforms3+ years of experience architecting database topologies across a wide array of formats2+ years of experience working with complex schemas and managing views into dataStrong knowledge and hands-on experience with data and data processes quality and its fit for purposeMedium knowledge of why/when to use non-SQL, columnar, data sharding solutionsMedium knowledge and hands-on experience w/ benchmarking and performance tuning data solutionsMedium knowledge and hands-on experience writing high-performance data queries and associated database designsLow working knowledge of at least one NoSQL databaseLow working knowledge of Restful API designStrong problem-solving skills with the ability to craft innovative solutionExcellent communication, written and verbal, in English. Proficiency in other languages is a plus.Strong interpersonal skills, with the ability to effectively collaborate with diverse stakeholders and influence decision-making; adept at translating complex technical details to diverse audiencesDesire to actively engage in geographically dispersed teamsAbility to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workdayMust become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners' Code of Conduct and foster an inclusive environment with people at all levels of an organizationUnderstands the implications of design decisions across datasetsGrasps sparse data sets, storage mechanics, and analytical application requirementsManages data lifecycles (archiving, access, cost) and communicates these concerns to stakeholdersCollaborates across the organization to understand needs and ensures data remains meaningfulPays meticulous attention to data management details like data growth rate, monitoring, query performance for common data use cases and builds insights to anticipate challenges before they happenExhibits a strong sense of quality and attention to detail
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