Key Responsibilities

• Create and iterate on data products and develop pipelines to provide data on an ongoing basis.
• Assist in enhancing data delivery across PL and Distribution.
• Assist with pivoting from antiquated technologies to enterprise standards.
• Understand, analyze, and translate business data stories into technical stories' breakdown structures.
• Design, build, test, and implement data products of varying complexity.
• Design, build, and maintain ETL/ELT pipelines using Python and SQL.
• Develop data validation scripts in Python.
• Write SQL queries to detect anomalies, duplicates, and missing values.
• Work closely with data analysts, scientists, and business stakeholders.

Requirements

• 3 to 5 years of experience as a Data Engineer.
• Full English fluency.
• BS in computer Engineering, Information Systems, Data Science, Advanced Analytics, Data Engineering, ML Ops, or similar.
• Insurance Background - Desirable.

Benefits

This position comes with a competitive compensation and benefits package, including:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Home Office model.
• Career development and training opportunities.
• Flexible work arrangements (remote and/or office-based).
• Dynamic and inclusive work culture within a globally known group.
• Private Health Insurance.
• Pension Plan.
• Paid Time Off.
• Training & Development.

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