2024-7280_Data Engineer Level II (Data-Enterprise Reporting)

AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.

Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention. 

• Strong SQL
• Development and maintenance of ELT snowflake data warehouse solutions
• Collaborate with internal and external technology and business partners to implement product changes
• Produce detail design and unit test documents, as required
• Critically analyze business requirements, architect and implement Data solutions
• Define, develop and maintain standards and processes to ensure effective ETL solution
• Production maintenance
• Work closely with product manager to develop and execute action plans to address gaps
• Recommend innovations that enhance and/or provide a competitive advantage to the organization
• Communicate effectively with both the business and technical teams
• Mentor junior offshore developers to accomplish results
• Build and continuously improve data engineering best practices
• Min 8 years of Data engineering experience using ETL/ELT technologies
• 6+ years ETL/ELT experience working with IICS, Informatica, StreamSets, DBT, Python, Data bricks, Snowflake and ADF or equivalent technologies
• 1 year hands on experience with Snowflake
• Experience working with SSIS, SSRS, and Power BI
• 1 year hands on experience working in an Azure environment.
• Experience working in insurance or reinsurance industry is highly desirable
• 3+ years hands on experience with agile methodologies
• Experience with Data warehouse/ data lake/ data hub modeling
• Experience working with external data feed to enrich internal data- desired
• 3+ years hands on experience with data standardization/conformance/transformation process
• Solid understanding of MDM and reference data
• 3+ years hands on experience with CI/CD process, especially in data engineering
• Experience working in SOX and SOC-2 compliant environment
• Experience with automated monitoring of data loads
• Support of production environment
• Strong understanding of technologies utilized in the industry and the ability to see their impact as well as enhancement management and product lifecycle development
• Knowledge of source code version control systems such as Git including branching/merging, resolving code conflicts, and 3-way and baseless merges
• Relevant experience working with 3rd party vendors to deliver results

• Bachelor’s degree in computer science, MIS or related field required