Sr. Consultant, Data Engineer

Hakkōda, an IBM Company, is seeking a Sr. Consultant, Data Engineer to join their team of experts. This role involves designing and developing Snowflake Data Cloud solutions, including data ingestion pipelines, data architecture, and data governance.

Responsibilities:

• Work in the design and development of Snowflake Data Cloud solutions
• Develop database architectures, data warehouses and ensure optimal data delivery architecture is consistent throughout ongoing customer projects
• Lead technical teams

Requirements:

• Bachelor's degree in engineering, computer science or equivalent area
• Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges
• Leadership in architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics
• Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting
• 5+yrs in related technical roles, data management, database development, ETL, Data Warehouses and pipelines
• Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
• Experience building ETL / ELT ingestion pipelines with tools like DataStage, Informatica, Matillion SQL scripting
• Cloud experience on AWS (Azure, GCP are nice to have as well)
• Python Scripting, Scala is required
• Ability to prepare reports and present to internal and customer stakeholders
• Track record of sound problem solving skills and action oriented mindset
• Strong interpersonal skills including assertiveness and ability to build strong client relationships
• Ability to work in Agile teams
• Experience hiring, developing and managing a technical team
• Master's Degree
• Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security
• Ability to design and implement complex data and AI usecases on Snowflake platforms
• Cloud Architecture Expertise: Experience with designing and implementing scalable and secure cloud architectures for data and AI applications
• Knowledge of cloud migration, deployment, and management best practices
• Data Engineering Best Practices: Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance
• Ability to optimize data and AI solutions for performance and scalability