Lead Data Engineer
hace 6 días
Valencia
Project Description: The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week. ¿Es este el siguiente paso en su carrera? Descubra si es el candidato adecuado leyendo la descripción completa a continuación. Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business. Responsibilities:We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture. Skills Description: • Readiness to work until 8.00 pm CET (no need to do overtimes), • Overall years of experience required 8+, • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years)., • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval., • Hands-on experience with Power BI, including data modeling, report and dashboard development, and building interactive, business-ready visualizations based on enterprise data sources., • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions., • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses., • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing., • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault), • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages., • Experience integrating metadata and governance processes into cloud-based data platforms, • Certification in Azure, Databricks, or other relevant technologies is an added advantage, • Experience with cloud-based analytical databases., • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix., • Experience with Python and Python-based ETL tools., • Experience with shell scripting in Bash, Unix or windows shell is preferable. Nice-to-Have Skills: • Experience with Elasticsearch, • Familiarity with containerization and orchestration technologies (Docker, Kubernetes)., • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis. xcskxlj, • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams. Languages: English: B2 Upper Intermediate