AltoIRA is seeking the right candidates to join us on our journey of formalizing and evolving our Data & Analytics platform. Our target data platform is easy to navigate, self-service enabled at multiple levels, SQL-oriented, secure, highly automated, resilient and cost-effective. Our data engineers build business required data products and also build the automations required to keep the team agile and effective.

What You'll Get to Do:

• Provision and set up data platform technologies
• Manage and secure the flow of structured and unstructured data from multiple sources
• Acquire necessary data while ensuring it meets compliance and data privacy regulations
• Participate in evaluation and implementation of new and major enhancements of reporting and business intelligence applications as needed

What We're Looking For:

• 5-6 years of relevant experience
• Bachelor’s degree or equivalent
• Solid analytical SQL (programming/designed managing data) experience
• Experience building data pipelines and analytical data models (star/snowflake) - 
• Experience defining and applying data management best practices
• Firm understanding of modern data platforms, their underlying data and distribution models, and how to select appropriate tools for given requirements
• Can demonstrate application of security best practices (compute, storage, and network)
• Expertise with popular analytical file formats (Parquet l, Delta Files - , ORC )
• Communication skills with the ability to distill complex subjects to a wider audience
• Excellent collaboration and project management skills
• Has experience with data modeling -- having conversations with data owners / users to build conceptual and logical models
• Modeling experience includes dimensional modeling (star, snowflake) 

Nice to Haves:

• PostgreSQL or MySQL experience
• Experience building Lakehouse architectures
• Effective skills to structure / develop large projects in Java, Python, Scala, Go, Rust, Elixir or similar
• Demonstrated experience automating data-oriented tasks using DevOps & metadata 
• Tools: Spark, Delta Lake, Iceberg, dbt, Alteryx, Airflow, Dremio, Starburst, Tableau, Superset, Looker
• Experience with Data Vault modeling

#Li-Remote