DATA ENGINEERING DOMAIN TECH LEAD

Data Domain Tech Lead Job description The role of the Data Domain Tech Lead in the loyalty program of Lidl Plus, from now on Lidlplus, corresponds to the management and coordination of the technical teams in the Data Domain.
These teams include both the Data Platform and Data Management teams.
This role combines a deep understanding of Data and Cloud technologies with a senior profile in people management.
These are the functions associated with this position.
Definition and surveillance of coding standards and best practices.
Provide a set of standards and good practices in the ingestion, modelling, and consumption of data to ensure a standard of quality in the domain.
Supervision of incident resolution.
Management of incidents of the products developed by the unit, helping to identify the possible sources of the error and their resolution.
Team development.
Management of the team, 1 to 1 interviews, identification and management of training needs, holidays, and permits, identification and resolution of conflicts, as well as the organization of activities to promote the cohesion of the group.
Recruitment of team members.
Identification of the need for new additions, management of the search for profiles with suppliers, universities, and network of contacts.
Screening of candidates, management of interviews, and monitoring of the incorporation process.
Technical dialogue with other teams.
Carry out activities to accompany the business managers of the unit in conversations, presentations, or meetings with members of other teams, either from the same domain, as from other domains or from other parts of the organization of the Schwarz group.
Experience.
MSs degree in Computer Science, Engineering, or related field 4+ years of experience managing high performance teams with agile methodologies 2+ years of experience in Big Data Frameworks 2+ years of experience in Cloud Platform (Azure, AWS, GCP) Technological stack (you don't have to know all of them).
Programming Languages.
Bash, Python, SQL, Scala, Java,.
ET, PowerShell Big Data Frameworks Operations.
Databricks, Snowflake Database operations.
relational (SQL Server) & non-relational (MongoDB, ELK, Cassandra) Cloud operation.
Azure, AWS or GCP CI/CD flows & tools.
Azure DevOps, Jenkins Monitoring and alerting tools.
Azure Monitoring, ELK, Grafana, Nagios As a bonus, knowledge in Machine Learning tools (Scikit-Learn, Pandas, Spark ML, MLflow,) Soft skills and competencies.
A motivated person, with passion for data and for the teams that work with it, a person that enjoys making the team and talent grow.
Fast adaptation to changing requirements and strong problem-solving skills.
Passion for learning new tools, languages, and frameworks.
Creative and innovation-minded, self-motivated, and proactive.
To work in a collaborative model, side by side with the business.
Fluent in English to work in a multi-cultural environment.
Conocimientos necesarios.
Development Nagios Spark Performance Environment Bonus Scala Powershell Universities Profiles Soft Skills Search Data Management Bash People Management Big Data Screening DevOps Programming Languages Machine Learning Agile Methodologies Jenkins MongoDB Presentations Programming Computer Science Python Suppliers Java SQL Engineering Science Business English Training Management