Data Engineer - GE08AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Group Benefits - Enterprise Data Services is undergoing a transformation to the Cloud, and we are looking for an enthusiastic Data Engineer to join our team. As a Data Engineer, you will work on implementing complex data projects, focusing on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. You will develop and implement Proof of Concepts (PoCs), generic frameworks, and real-time pipelines using SQL, Amazon Web Services (AWS), ETL tools, Snowflake, and Python. You will be introduced to automation of software application development using Continuous Integration/Continuous Delivery (CI/CD) methodologies. Additionally, you will get opportunities to collaborate with other Data Science, Machine learning & Artificial Intelligence teams on their data needs.

• Design, develop, and maintain data pipelines for extraction, transformation, and loading processes using ETL tools and R/Python in Cloud and Oracle environments to support data analytics and reporting efforts.
• Integrate and aggregate complex data from multiple data sources and platforms to enhance customer access to information and promote a data-driven culture.
• Incorporate core data management competencies, including data governance, data security, and data quality.
• Collaborate with the Business Intelligence team and Data Engineering lead to establish a strategic end-to-end solution and ensure data assets meet reporting and analytics requirements.
• Develop and deploy analytical solutions leveraging machine learning technologies.
• Develop and support the migration activities of reporting assets from Oracle to Snowflake.
• Collaborate with the Enterprise Data teams to provide user acceptance testing, maintain data quality, and advance the technical toolset.
• Develop and maintain data analytics tools and frameworks to support Artificial Intelligence & Machine Learning use cases.
• Stay up to date with emerging data technologies and industry best practices.
• Demonstrate a strong willingness to explore and leverage new tools and technologies as per project needs.
• Confident, self-starter capable of independently driving multiple concurrent projects to completion.

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Bachelor's degree in computer science, Data Engineering, or a related field
• Minimum 2 years of experience as a Data Engineer, with a strong track record in quantitative, analytical and data manipulation skills
• Experience with ETL tools (Informatica, IDMC, Talend etc.)
• Unit, interface and end user testing concepts and tooling (functional & non-functional)
• Knowledge on any Cloud tech stack AWS, Azure etc.
• Advanced knowledge of SQL as it pertains to data, analytics, and reporting on any relational database Oracle, SQL Server, Snowflake etc.
• Experience with any scripting or programing language - Python, JavaScript etc.
• Experience with Test automation & DevOps tools
• Knowledge of Agile Scrum/SAFE methodology
• Effectively use collaboration tools like Rally, Jira etc.

• JavaScript/React/Angular experience a huge plus.
• Experience with any of the reporting tools -Tableau, Business Objects, Micro-Strategy
• Insurance & Financial services domain knowledge
• Knowledge of AWS cloud technology - Code Build, Code Pipeline, Containers
• Awareness of AI, ML, Data science practice