Data Ingestion Lead in Bucuresti

At The Estée Lauder Companies (ELC), we believe that technology will power the future of beauty. Across more than 25 globally recognized brands sold in over 150 countries and territories, we use technology to reinvent and redefine how consumers worldwide explore and express their individual beauty. Infused throughout our organization is a passion for creativity and innovation and a desire to push the boundaries and invent the unexpected. Our Digital Technology Centers are made up of talented individuals who exemplify ELC’s heritage of high-performance, innovation, and family values. We’re looking for creators, leaders, and visionaries with the passion and imagination to shape the next generation of beauty products and experiences. We’re hiring technologists at all levels. The Data Ingestion Engineer will join our data engineering capability in ELC’s Eastern European Center, located in Bucharest. Helping ELC to become a data-driven organization, the role is responsible for maintain and develop the ingestion framework. Working within a virtual global team, the profile will have the opportunity to work on analytical projects across the entire enterprise. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Ingestion Engineer will support our global team on data initiatives and will ensure consistency and adherence to the standards and guidelines of the platforms. Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives. Job Responsibilities: Design, build and deploy optimized, sustainable data pipelines and data products leveraging ELC best practices and development frameworks Manage delivery across multiple concurrent data ingestion projects; ability to adjust prioritization according to business needs by applying principles of agile Maintain and evolve the data ingestion framework and collaborate with the other team members to make architectural changes Define and evolve best practices, standards and guidelines; assist in rolling out Continuous Integrations and Delivery methodology Coach data engineers on best practices and technical concepts behind large-scale data platform Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, etc. Qualifications Technical Skills and Qualifications: Mandatory: Strong SQL skills and experience with major database platforms (e.g.: SQL Server, Oracle, Snowflake, Redshift) Solid experience working with ELT/ETL tools like Data Factory, Matillion, Informatica and SSIS or orchestration tools like Airflow, Astronomer and Cloud Composer Programming experience, preferably Python Nice to have: Familiarity with Cloud Service Providers; Azure highly desired. PySpark; coding in distributed computing environments, Databricks preferred. Relevant Experience: Data/Analytics Project experience involving SAP data Data/Analytics Project experience in CPG or Retail; Beauty industry a plus. Project experience that demonstrates strong analytic skills to understand business problems and initiative to solve problem statements with insights derived from data Job: Information Technology Primary Location: Europe, Middle East, Africa-RO-B-Bucharest Job Type: Standard Schedule: Full-time Shift: 1st (Day) Shift Job Number: 2114299