Senior Data Engineer

About the Position

We are seeking a Senior Data Engineer with 8+ years of experience to modernize and develop an eCommerce platform for a US-based retail company. The role is remote and based in Argentina.

Responsibilities

• Implement a solution to support the processing of big data volumes and integrate it into the current architecture.
• Support the modernization, maintenance, and development of an eCommerce platform for a big US-based retail company.

Skills

Must Have

• 8+ years of experience in data engineering.
• Strong, recent hands-on expertise with Azure Data Factory and Synapse (3+ years).
• Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models.
• 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.
• Ability to integrate data from disparate sources using appropriate techniques.
• Proficiency in designing and implementing data warehousing solutions.
• 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 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.

We Offer

• Remote work options.
• Opportunity to work on a cutting-edge eCommerce platform.
• Professional growth and development opportunities.

About the Company

This role is part of the DWH Development team within Cross Industry Solutions. We focus on delivering innovative data solutions to support the business needs of our clients.

Application Deadline

Applications are open until 12/08/2026.

Requisition Number: VR-124289