Senior Data Engineering

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Power BI experience
• Hands-on Databricks and Snowflake experience
• Production delivery and support experience
• Experience with the use of AI tools (Copilot, Claude, Codex)
• Advanced SQL and solid data-troubleshooting capabilities
• Proven solid data-validation skills
• Demonstrated end-to-end ownership
• Proven solid production troubleshooting
• Proven clear communication with business partners, engineers, and product owners

Preferred Qualifications:

• Cognos experience
• Databricks Genie or AI/BI experience
• Python and Pyspark experience
• Experience building and supporting ETL/ELT pipelines
• Unity Catalog, metadata, lineage, and governed-data experience
• CI/CD, Git, and deployment automation experience
  • Experience supporting financial, billing, payment, delinquency, or membership reporting