Mid Data Engineer-Python & SQL (Night Shift)

About the role

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.

Key responsibilities

• Work with strategic partners to solve business problems by developing best-in-class data solutions
• Perform data manipulation using SQL and Python to develop data assets
• Leverage technology to automate data ingestion, transformation and integration
• Provide the appropriate level of documentation of sources and technical solutions
• Evaluate data quality and completeness
• Build strong partnerships with peers across the organization to support data-related goals
• Explore new technologies and data sources with curiosity and creativity
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Create and maintain optimal data pipeline architecture

About you

• 1-2+ years of experience to 3-4+ years of experience of data/software engineering experience working with SQL, Python, and relational databases
• Understanding and experience with dimensional data modeling (star schema)
• Familiarity with the MLOps framework
• Strong data manipulation skills for analytics
• Excellent critical thinking skills to tackle complex data challenges
• Strong organizational skills and very detail oriented
• Exceptional collaboration and relationship building skills
• Comfortable working in a fast paced, highly collaborative environment
• Ability to effectively communicate to different target audiences
• BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent