Lead Data Engineer / Data Architect

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.
• 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

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Mandatory Skills Descriptio

• n:• Readiness to work until 8.00 pm CET (no need to do overtime
• s)• Overall years of experience required 8+ (at least 1+ year in a Lead/Architect positio
• n)• 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 retrieva
• l.• 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 solution
• s.• Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouse
• s.• Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuin
• g.• Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vaul
• t)• Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storage
• s.• Experience integrating metadata and governance processes into cloud-based data platfor
• ms• Certification in Azure, Databricks, or other relevant technologies is an added advanta
• ge• Experience with cloud-based analytical database
• s.• Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informi
• x.• Experience with Python and Python-based ETL tool
• s.• Experience with shell scripting in Bash, Unix or windows shell is preferabl
• e.• 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 level

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Nice-to-Have Skills Descripti

• on:• Experience with Elasticsea
• rch• Familiarity with containerization and orchestration technologies (Docker, Kubernete
• s).• Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analys
• is.• Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional tea
• ms.• Ability to plan, estimate and track progress of implementing featu
• res• Computer Science and data science academic and education credenti