Data Engineer III

• Lead development of Customer 360/CDP solutions, integrating customer data across client’s business units for loyalty, CRM, marketing, and analytics use cases.
• Design scalable data models and pipelines supporting gaming data, player activity, loyalty programs, offers, and enterprise KPIs.
• Modernize and enhance the Snowflake enterprise data platform with a focus on governance, observability, lineage, reliability, and data quality.
• Partner with Data Engineering, Analytics, Data Science, Marketing, and Product teams to deliver trusted, business-ready datasets and reporting solutions.

• Ideal Candidate Profile: A highly hands-on Senior Data Engineer with 7+ years of enterprise data engineering experience, deep Snowflake expertise, and strong Lakehouse architecture knowledge.
• The ideal candidate has a proven track record of owning end-to-end data solutions, building scalable ETL/ELT pipelines and dimensional data models, making independent architectural decisions, and mentoring other engineers.
• Experience with Databricks, Spark, Azure/AWS, and industries such as gaming, hospitality, loyalty, CRM, or customer analytics is highly preferred. This person should be capable of designing and owning solutions, not simply executing predefined technical tasks.

• Deep Snowflake expertise (5+ years), including SQL, Streams, Tasks, Dynamic Tables, performance tuning, security, RBAC, warehouse optimization, and cost management.

• Strong experience designing and implementing modern Lakehouse/Data Platform architectures, including Medallion Architecture and large-scale data integration.
• Proven hands-on experience building and supporting enterprise ETL/ELT pipelines using SQL, Python, ADF, Airflow, CDC, data quality controls, monitoring, and dimensional data modeling.

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