Senior Data Engineer: Azure & Big Data for Retail Platform

Luxoft; Argentina; Remote; ARS 1,800,000 - 3,000,000; Full time

Job summary

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

Qualifications

• 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.

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

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

Tools

Docker

Kubernetes

Job description

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