Description

You will lead data engineering efforts and oversee complex ETL processes for life insurance data architecture.

This role is on-site.

Responsibilities

• Design and implement ETL jobs using Python and PySpark.
• Manage data pipelines within Databricks and Azure Data Lake Storage (ADLS).
• Develop and optimize SQL queries and stored procedures in Azure SQL.
• Oversee data integration workflows using SSIS.
• Apply domain knowledge of Life Insurance processes to data modeling and architecture.

Required Skills

• 12+ years of total professional experience.
• 8+ years of experience working with Databricks and ADLS.
• 8+ years of advanced SQL experience.
• 7+ years of experience developing ETL jobs.
• Proficiency in Python and PySpark.
• Experience with AWS and Azure SQL.
• Hands-on expertise with SSIS.
• Domain expertise in Life Insurance processes.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate