Do you want to be at the heart of Data Engineering practiceThis position forms part of Evalueserve Chiles Data Analytics division and is within a multicultural, supportive, and dynamic team of more than 30 professionals that provides direct data engineering support and end- To- End data architect solutions to clients mainly in the Americas and Europe.If you love solving challenging data architectures, working in dynamic teams, providing top- Otch quality services to your clients, and bringing new ideas to the table, we want to talk to you.We'll trust you to:We built our values around always being refreshing, responsive, and rigorous. In Data Analytics, our clients engage us with us on the following essential tasks and responsibilities:Self- Driven to learn and develop new skill on leading platforms.Build, implement and maintain ETL/ELT pipelines, Data Warehouse, or Data Lake solutions.Translate complex business problems into scalable technical solutions.Lead/guide/mentor data engineer teams when needed.Recognize potential issues and risks during project implementation and suggest realistic mitigation strategies.Collaborate in multidisciplinary teams to implement data engineering solutions.Ensure data integrity through rigorous attention to detail and validation, including adherence to all regulatory, privacy compliance, and security procedures.Interact and handle communication with stakeholders and provide design solutions as and when needed.Document process, codes, and models to be shared within the team, with different teams, as well as with stakeholders, ensuring knowledge management.We'd love to see:Certification in Azure Data Engineer, AWS Specialty Data Analytics, or GCP Professional Data Engineer.2+ years in people management.Experience in data solution project management using Scrum.Experience with batch processing/real- Time implementations.Knowledge of CI/CD implementations on the cloud.Knowledge of the Hadoop Ecosystem.Knowledge or certification in Scrum Fundamentals, DevOps or DataOps.Familiarity with data visualization tools like Tableau and Power BI.Experience with data migration to cloud- Ative environment and Big Data environment.Why choose us- Evalueserve was founded in and is a global professional services provideroffering research, analytics, and data management services. Were powered by mind+machineTM, a unique combination of human expertise and best- In- Class technologies that use smart algorithms to simplify key tasks. We work with clients across a wide range of industries and business functions, helping them to make better decisions faster and reach new levels of efficiency and effectiveness.Our center in Via del Mar, Chile, opened in and we now have over professionals. We pride ourselves on having a multicultural team, with around 25 nationalities represented. Additionally, as a leading employer, we highly invest in our peoples development with specific Line of Business and management training programs.We are committed to providing equal employment opportunities EEO globally, eliminating discrimination, and promoting good relations among employees, regardless of age, disability, ethnicity or origin, sex, gender assignment, gender identity, religion or belief, sexual orientation, and marital or civil partnership status. Evalueserve is an inclusive employer and is proud of its diverse workforce.What you bring to the role:Undergraduate degree see below for details and the following skills:Intermediate verbal and written communication skills in English.Professional degree in Computer Science, Information Systems, Engineering, or a similar field is preferred.7+ years of relevant experience working as a Data Engineer in On- Rem or Cloud environments. Experience in Data Management, Data Analysis, or Data Science will also be considered.Relevant experience in data solutions with any of these cloud service providers:GCP, Azure, AWS.Proficiency in Python or Scala programming language.Proficiency in SQL as a programming language.Proficiency in Shell Scripting.Proficiency in relational and dimensional data modeling.Good understanding of data warehouse, data cloud architecture, building data pipelines e. G. ETL, ELT, and orchestration.Proficiency using Spark clusters and PySpark.1 de 52 de 53 de 54 de 5De 5,Your opportunity:Do you want to be at the heart of Business Research-We're looking for a researcher and editorial analyst to join our team that works alongside different clients and industries.Get directions to this location on Google Maps.
