Technical Data Science / Data Engineer - AnalystAccenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 721,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at accenture.com.Technical Data Science / Data Engineer roleYou will have the opportunity of being part of a highly specialized team, working for our top clients in the evolution of their core systems and the implementation of new digital architectures. As part of the team, you will be working on new data architectures, and you will have plenty of opportunities to upskill and access to training and certification processes for a wide range of technologies.Your roleWorking on data engineering tasks including data ingestion, data quality, ETL processes, to design and implement modern, scalable data solutions using a range of new and highly performant technologiesWorking on the development of data model and efficient data architecture schemas, from the definition of data governance policies to the availability of data sets for business use case developmentWorking in highly skilled teams advising and supporting our clients on data processing and data managementWorking in partnership with global clients and large public/private sector organizationsKey ResponsibilitiesDesign and implement the data architecture for our clients based on high performance data management technologiesDesign the integration with legacy data sourcesDefine the standards and best practices to develop applications using new architecturesUsing good communication skills to understand and deliver client requirementsBring your experience and ideas to innovative engineering, design and strategyContribute to our internal networks and special interest groupsRecommend ways to improve data reliability, efficiency and qualityCollaborate with data architects, modelers and IT team members on project goalsBuild high-performance algorithms, prototypes, and proof of conceptsRequired SkillsProgramming skills in Python and PySpark, eventually including RSQL and NoSQL based technologiesGood knowledge on Big Data technologies, e.g., Spark, HDFS and ParquetGood management with REST APIsExperience on Public Cloud Technologies like AWS, Azure, GCP, etc., or Private Cloud Technologies like Palantir, Splunk, Cloudera, etc.Any exposure to CI/CD (DevOps, GiT, Jira, IaaC) is a plusAny exposure to ML, AI, DL with focus on MLOps (MLFlow, Prefect, TFX...) is a plusWe offer:Competitive salary, wellness plans and private health insurance, innovative and interesting projects, a tailor-made career plan accompanied by personalized training, centrally located offices, and a lot of flexibility and much more.Igualdad de Oportunidades en el EmpleoTodas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.
#J-18808-Ljbffr