Senior Data Engineer

About the Position

We are seeking a Senior Data Engineer with over 8 years of experience to join our team in Remote Ukraine. The role focuses on building scalable data solutions for a big US-based retail company.

Responsibilities

• Design and implement data models, including conceptual, logical, and physical data models.
• Develop robust and scalable ETL/ELT pipelines.
• Integrate data from various sources using appropriate techniques.
• Design and implement data warehousing solutions.
• Perform complex queries, data transformations, and performance tuning on cloud-based data storages.
• Integrate metadata and governance processes into cloud-based data platforms.
• Lead cross-functional engineering teams and define technical strategy and architecture.

Requirements

• Must Have

  • Readiness to work until 8.00 pm CET (no need to do overtimes)
  • Overall years of experience required 8+ (at least 1+ year in an Architect position)
  • Strong, recent hands-on expertise with Azure Data Factory and Synapse (3+ years)
  • 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 for complex queries, data transformations, and performance tuning
  • 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
  • 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

• Opportunity to work remotely from Ukraine
• Competitive salary and benefits
• Collaborative and innovative work environment

About the Company

Luxoft is a global provider of digital transformation and technology services, empowering businesses to thrive in the digital age. We are committed to delivering innovative solutions and fostering a culture of excellence and continuous learning.

Languages

• English: B2 Upper Intermediate

Apply

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