Senior Data Engineer

Luxoft; Argentina; A distancia; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Luxoft in Argentina seeks a Senior Data Engineer to help modernize, maintain and develop an eCommerce platform for a large US-based retailer, serving millions of omnichannel customers weekly. The role centers on building scalable data pipelines and aligning with cloud-native architecture across teams.

You will work with Azure Data Factory, Synapse, Data Lake, Databricks and Python to ingest and transform data from diverse sources, implement robust ETL/ELT processes, and drive data modelling and

Formación

• Overall years of experience required: 8+.
• Hands-on with Azure Data Factory and Synapse (3+ years).
• Designing data models to support storage and retrieval.
• Strong knowledge of Azure services (ADLS, Synapse Analytics, Data Factory, Databricks, pySpark).
• Extensive ETL/ELT pipeline experience.
• API integration from diverse sources.
• Data warehousing concepts (dimensional modeling, star schemas).
• SQL proficiency for complex queries and tuning.
• Metadata governance in cloud data platforms.
• Azure certifications or similar are a plus.

Responsabilidades

• We are looking for Senior Data Engineer to implement a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

Conocimientos

Azure Data Factory

Azure Synapse

Azure Data Lake

Azure Databricks

pySpark

ETL pipelines

API integration

Data warehousing

SQL proficiency

Metadata governance

Azure certification

Postgres on Azure

Cosmos DB

Analysis Services

Informix

Python ETL

Shell scripting

Leadership experience

Herramientas

Docker

Kubernetes

Descripción del empleo

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 Senior Data Engineer to implement 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

Must have

• 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.
• 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