Senior Data Engineer (Cloud)

The Role:

The Senior Cloud/Data Engineer will build, optimize, and maintain our modern data infrastructure. The ideal candidate will have hands-on experience with cloud-native data platforms, particularly Snowflake and AWS services, and will develop and maintain scalable data pipelines and feature engineering pipelines. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Responsibilities:

• Work with Product team to determine requirements and propose approaches to address users' needs.
• Analyze requirements to determine approach/proposed solution.
• Design and Build Solutions using relevant programming languages.
• Thoroughly test solutions using relevant approaches and tools
• Bring out-of-box thinking and solutions to address challenging issues.
• Effectively prioritize and execute tasks in a fast-paced environment.
• Work both independently and in a team-oriented, collaborative environment.
• Highly self-motivated and directed.
• Demonstrate a commitment to our core values.

Requirements:

• Strong verbal and written communication skills.
• Experience designing and developing enterprise applications.
• Hands-on software troubleshooting and problem-solving abilities.
• Experience across the software development lifecycle, including requirements gathering, analysis, design, development, and testing.
• Experience with cloud-native data platforms, especially Snowflake and AWS services.
• Continuously learn and adapt to new technologies

Must Haves:

• Proficiency with databases (e.g., Snowflake, DB2, Redshift) and dimensional modeling.
• Hands-on experience with AWS architecture and services (Lambda, Glue, Kinesis, Firehose, Athena, S3, Cloudwatch, Dynamodb, API Gateway).
• Proficient in Python, SQL, and scripting (e.g., Unix shell scripts).
• Experience building feature engineering pipelines.
• Experience with CI/CD tools such as GitHub, GitHub Actions, CodePipeline, and CloudFormation.
• Knowledge of user authentication and authorization across systems, servers, and environments.
• Experience with Tecton or Sagemaker or similar feature stores.
• Experience with NoSQL databases.
• Ability to take ownership and proactively ensure delivery timelines are met.

Great To Haves:

• Experience in data pipeline development using modern ETL tools, specifically Informatica PowerCenter and/or Informatica IICS.
• Experience with Airflow.