Job Opportunities API

At AlixPartners, we tackle complex challenges by transforming insights into innovative solutions, delivering lasting value for businesses, their people, and the communities they serve. Our products are designed to drive meaningful impact, ensuring sustainable growth and success. 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 of thoughts and experiences bring to our firm, 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 and remote working. Our products are designed to drive meaningful impact for our clients and stakeholders. This role follows a different cadence to traditional consulting or on-site client presence - it follows a traditional product development cadence, while being expected to engage our users in the appropriate situations such as business conferences and in-person workshops. What you’ll do The 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. This description is not designed to encompass a comprehensive listing of required activities, duties or responsibilities. Key Responsibilities: Design, build, and maintain sustainable data pipelines for firm-wide data sets, supporting discovery and consumption Ensure data access for users, applications, and services to make informed decisions and business case optimizations Identify critical gaps and develop ETL processes Be a domain expert in stored data and use cases What you’ll need Bachelor’s degree in computer science or related field 8+ years of experience working in Data Enginering roles.  4+ years of experience with RDBMS (e.g. Postgres, MySQL, Oracle) 2+ years of experience building data solutions on Azure and other data / analytical platforms 3+ years of experience architecting database topologies across a wide array of formats 2+ years of experience working with complex schemas and managing views into data Strong knowledge and hands-on experience with data and data processes quality and its fit for purpose Medium knowledge of why/when to use non-SQL, columnar, data sharding solutions Medium knowledge and hands-on experience w/ benchmarking and performance tuning data solutions Medium knowledge and hands-on experience writing high-performance data queries and associated database designs Low working knowledge of at least one NoSQL database Low working knowledge of Restful API design Strong problem-solving skills with the ability to craft innovative solutions Excellent 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 audiences Desire to actively engage in geographically dispersed teams Ability to work full time in an office and remote