Data Engineer

Company Description Redica Systems is a SaaS start-up serving more than 200 customers within the life science sector with a specific focus on Pharmaceuticals and MedTech Our workforce is distributed globally with headquarters in Pleasanton CA Redica s data analytics platform empowers companies to improve product quality and navigate evolving regulations Using proprietary processes we harness one of the industry s most comprehensive datasets sourced from hundreds of health agencies and the Freedom of Information Act Our customers use Redica Systems to more effectively and efficiently manage their inspection preparation monitor their supplier quality and perform regulatory surveillance More information is available at redica com Were 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 startxe2x80x94write 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 xe2x80x94 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 company s technology stack and programming languages relevant to their team Maintain a high-level understanding of how their team s 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 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 Additional Information Top pharmaceutical companies food manufacturers medtech companies and service firms from around the globe rely on Redica Systems to mine and process government inspection enforcement and registration data This enables them to quantify risk signals from their suppliers identify market opportunities benchmark against peers and prepare for the latest inspection trends Our data and analytics have been cited by major media outlets including MSNBC The Wall Street Journal WSJ and The Boston Globe