Data Engineer

We re looking for an experienced Data Engineer to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry. Core Responsibilities Own code quality from the start write maintainable, well-structured code that others can trust and build on Focus on attaining expertise in one or more areas from Data engineering, Data modeling, Data testing, Data pipeline orchestration, etc. rarely make the same technical mistake twice Make steady, visible progress on tasks and proactively seek support when blocked. Balance automated and manual testing to ship with confidence Prioritize tasks and focus on important details Demonstrate deep expertise in the companys technology stack and programming languages relevant to their team Maintain a high-level understanding of how their teams technology stack interacts with other teams systems and tools Provide on-call support for their team when needed About you Tech Savvy: Actively adopt and incorporate new tools and frameworks into projects Manage Complexity: Manage complexity proficiently, integrating various systems seamlessly Plan and Align: Create and follow project plans, aligning tasks with organizational goals Collaborate: Work effectively with team members and contribute to shared objectives Manage Ambiguity: Navigate moderate ambiguity and adapt to changing requirements Engaged: You share our values and possess the essential competencies needed to thrive at Redica, as outlined here: https: / / redica.com / about-us / careers / Qualifications 2-4 years of developer experience with an emphasis on code/system architecture and quality output Experience designing and building data pipelines, data APIs, and ETL/ELT processes Exposure to data modelling and data warehouse concepts Hands-on experience in Python Hands-on experience with Snowflake & Airflow is a must-have Hands-on experience setting up, configuring, and maintaining SQL databases (MySQL/MariaDB, PostgreSQL) Computer Science, Computer Engineering, or a similar technical degree Bonus Points Experience with DBT is a major plus Experience with the data engineering stack within AWS is a major plus (S3, Lake Formation, Lambda, Fargate, Kinesis Data Streams/Data Firehose) Experience with both batch and event-driven data architectures Hands-on experience with NoSQL databases like DynamoDB and MongoDB Exposure to a start-up engineering environment is a plus