Data Engineer

We are looking for a dynamic Data Engineer who is dedicated, takes ownership of their work, and is committed to developing high-quality, scalable data solutions. If you are ready for continuous learning and improvement with hands-on execution of data engineering tasks in a dynamic environment, we’d love to hear from you!

Are you passionate about data engineering and eager to work with the latest technologies? As a Snowflake Data Engineer at Principal Financial Group, you will have an outstanding opportunity to collaborate with a team of ambitious professionals, using AI-powered tools to deliver flawless data solutions. This is your chance to create a significant impact, working on high-profile projects that drive our business forward!

• Have 2-4 years of background in data engineering, especially working with AWS services such as S3, Lambda, SNS, EC2, IAM, and KMS, along with Snowflake capabilities including snowpipe, streams, tasks, stored procedures, and Snowpark.
• Handle well-defined tasks and complete them by writing readable, maintainable code while adhering to coding practices and data protection standards.
• Develop code considering established controls, policies, and recommended strategies for development work.
• Engage in requirement analysis, testing, debugging, documentation, and quality review to understand basic data management process builds, models, and architectures.
• Leverage AI-powered engineering tools, including GitHub Copilot and other approved GenAI solutions, to improve developer efficiency, code quality, documentation, test case generation, and troubleshooting.
• Demonstrate an outlook of AI adoption and continuous learning. Proactively find opportunities to use AI-assisted development techniques. These techniques help speed delivery, automate repetitive tasks, improve data engineering workflows, and boost operational efficiency.
• Communicate assumptions, seek clarification on tasks to minimize the need for rework, and actively participate in team meetings and discussions.
• Follow established project execution processes, coding standards, and industry guidelines.
• Get actively involved in training, self-development, and knowledge sharing, contributing actively to organization-level cloud initiatives.
• Solve problems with analytical thinking and apply root cause analysis.
• Easily switch between working autonomously or in cooperation with others.

• 2-4 years of experience as a data engineer with a demonstrated history of success.
• Proficiency in Python, SQL, and working with relational databases.
• Experience building and optimizing data pipelines.
• Experience working with CI/CD Pipelines in GitHub and Jenkins.
• Excellent communication and collaboration skills.

• Significant experience working with AWS services such as S3, Lambda, SNS, EC2, IAM, and KMS.
• Skilled in CI/CD Pipelines in GitHub, along with Snowflake functionalities such as streams, tasks, stored procedures, snowpipe, and data sharing.

• Hands-on experience or familiarity with one or more of the following technologies: Database, Data Visualization (Power BI), Scripting, ETL (Informatica PowerCenter).
• Nice to have AWS Cloud certification.

- Graduate - Bachelor's degree (any stream).