Senior Data Engineer at Luxoft

Descrição da Função:

Últimas informações de emprego de Luxoft para o cargo de Senior Data Engineer. If the Senior Data Engineer vaga em Portugal corresponde às suas qualificações, submeta a sua candidatura ou CV atualizado diretamente através do portal Jobkos.

Tenha em atenção que candidatar-se a um emprego exige o cumprimento de requisitos da empresa. Esperamos que a oportunidade em Luxoft para o cargo de Senior Data Engineer abaixo seja adequada ao seu perfil.

Project description

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail Empresa, serving millions of omnichannel customers each week.

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 Empresa. The main focus is to support processing of big data volumes and integrate solution to current architecture.

Skills

Must have

• Readiness to work until 8.00 pm CET (no need to do overtimes)
• Overall years of experience required 8+ (at least 1+ year in a Lead/Architect Cargo)
• 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.
• 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.
• Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Nice to have

• 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.
• Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.
• Ability to plan, estimate and track progress of implementing features
• Computer Science and data science academic and education credentials

Other

Languages

English: B2 Upper Intermediate

We offer numerous benefits such as:

⏰ Flexible work schedule

? Great Empresa culture and friendly environment

? Work within a fast-moving, exciting, and challenging environment

Talent development ecosystem

Luxoft Training Center services with ad-hoc leadership and technical programs

Knowledge sharing in professional communities

? Meetings for knowledge sharing, celebrations, and brainstorming: your ideas count!

Regular team-building activities

Variety of discounts for our employees

Informação da Vaga:

• Empresa: Luxoft
• Cargo: Senior Data Engineer
• Local de Trabalho: Portugal
• País: PT

Como enviar a sua candidatura:

Após ler e compreender os critérios e requisitos mínimos explicados na informação da vaga Senior Data Engineer at the office Portugal acima, prepare de imediato os documentos de candidatura, tais como carta de apresentação, CV, cópia do diploma e outros anexos. Envie através do link 'Próxima Página' abaixo.

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