Senior Data Engineer with Tableau

• 5+ years of data engineering experience, including 2+ years with Snowflake in production
• Strong hands-on ETL design, data blending, and complex transformation skills
• Advanced proficiency in SQL and Python for data engineering
• Experience building pipelines with orchestration tools (Airflow, dbt, Prefect)
• Understanding of cloud data warehouse concepts like partitioning, clustering, materialized views, query optimization, and cost governance
• Experience with Finance data (general ledger, cost center, P&L, FP&A) is advantageous
• Proficiency with GitHub for version control and code review
• Experience developing and documenting backend REST APIs
• Familiarity with CI/CD pipelines for data workloads

Nice to have:

• Experience with SAP systems (S/4HANA, BW4) or other ERP sources
• Knowledge of data governance frameworks and metadata tools (e.g., Collibra, DataHub)
• Exposure to Snowflake data sharing and Marketplace capabilities
• Familiarity with dbt for transformation and testing
• Understanding of dimensional modeling and experience in regulated industries (pharma, finance, life sciences)

Data Engineering & Architecture:

• Design, build, and maintain scalable ETL/ELT pipelines ingesting, transforming, and delivering Finance data into Snowflake
• Implement data blending strategies consolidating data from ERP systems, flat files, APIs, and databases
• Apply Snowflake native capabilities like dynamic tables, streams, tasks, materialized views, data sharing, and time travel
• Model data using dimensional and modern approaches such as Data Vault and medallion architecture
• Ensure data quality, consistency, and lineage with testing and monitoring
• Optimize query performance and cost in Snowflake

Pipelines & Orchestration:

• Build and maintain data pipelines using orchestration tools like Apache Airflow, dbt, or similar
• Implement CI/CD practices for data pipelines using GitHub Actions or similar
• Monitor pipeline health, set alerting, and resolve incidents

Backend & API Development:

• Design and develop RESTful APIs to expose Finance data
• Collaborate with frontend and full-stack developers to define data contracts
• Implement authentication, authorization, and data access governance

Cloud & Infrastructure:

• Work in cloud environments (AWS), applying cloud data warehouse best practices
• Contribute to infrastructure-as-code using Terraform or equivalents
• Champion data security and compliance standards

Collaboration & Standards:

• Partner with Finance experts and analysts to translate data needs into solutions
• Contribute to and enforce data engineering standards and documentation
• Mentor junior engineers and act as a technical reference

We reserve the right to contact selected candidates.