Senior Data Engineer (Databricks Migration)

Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.

Customer: A leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers, supporting data-informed pricing decisions at scale for global retail organizations.

Project: Strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture processing high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic. Technologies include Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, and Unity Catalog.

• 5+ years of professional experience as a Data Engineer
• Strong programming skills in Python and advanced SQL
• Hands-on commercial experience with Databricks
• Strong knowledge of Apache Spark, primarily PySpark
• Experience designing and building modern cloud-based data platforms
• Experience developing ETL / ELT pipelines and large-scale data processing solutions
• Hands-on experience with Delta Lake
• Experience with Spark Declarative Pipelines
• Experience with cluster monitoring, metrics analysis, and performance optimization
• Strong understanding of distributed data processing architectures
• Solid understanding of data warehousing concepts and dimensional modeling
• Experience with Airflow or similar orchestration tools
• Experience optimizing complex analytical SQL workloads
• Experience implementing CI / CD practices for data engineering platforms
• Strong troubleshooting and performance optimization skills
• Ability to work collaboratively in cross-functional international teams
• Upper-Intermediate or higher English level

Nice to have:

• Experience working with GCP cloud services
• Experience with AWS or Azure cloud platforms
• Experience in retail analytics or pricing optimization domains
• Experience supporting machine learning or AI-related data workloads
• Experience with platform modernization and cloud migration initiatives

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
• Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
• Analyze existing ETL / ELT workloads and define migration approaches
• Develop and optimize data pipelines processing large volumes of retail and analytical data
• Implement incremental processing strategies and scalable transformation frameworks
• Build and maintain Spark-based data processing solutions using PySpark
• Design and maintain medallion architecture layers including Bronze, Silver, and Gold
• Implement data governance and security best practices using Unity Catalog
• Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
• Participate in architecture discussions and technical solution design
• Develop reusable data platform components and engineering standards
• Conduct code reviews and contribute to platform reliability and maintainability
• Troubleshoot and optimize complex SQL and Spark workloads
• Support production deployments and platform modernization activities