Senior Data Engineer

About the Position

We are seeking a Senior Data Engineer with 8+ years of experience to join our team in Remote Mexico, focusing on building robust ETL/ELT pipelines and data warehousing solutions.

Responsibilities

• Implement a solution for a big retail company.
• Support processing of big data volumes.
• Integrate solution to current architecture.

Requirements

• Must have

  • 8+ years of overall experience.
  • 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.
  • Extensive experience with building robust and scalable ETL/ELT pipelines.
  • Ability to integrate data from disparate sources, including databases, APIs, and external data providers.
  • 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.

We Offer

• Remote work in Mexico.
• Competitive salary.
• Opportunity to work on a project modernizing an eCommerce platform for a big US-based retail company.

About the Company

Luxoft is a global provider of digital transformation and technology services, empowering businesses to innovate and thrive in the digital age.

Apply

Interested candidates can apply for the Senior Data Engineer position in Remote Mexico.