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Data Engineer II
Apitoria Pharma
posted 2mon ago
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Job Description
We re looking for an experienced Data Engineer II 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
- Creates new documentation for components they work on
- May provide on-call support for their team
- Writes correct and clean code with minimal guidance; consistently follows best practices
- Rarely makes the same technical mistake twice, begins to focus on attaining expertise in one or more areas from Data engineering, Data modeling, Data testing, Data pipeline orchestration, etc.
- Contributes to code used by others
- Makes steady progress on tasks and asks for help when blocked
- Ensures adequate testing (automated and manual)
- Prioritizes tasks and focuses on important details
- Deep expertise in the companys technology stack and programming languages relevant to their team
- High-level understanding of how their teams technology stack interacts with other teams systems and tools
About you
- Tech Savvy: Actively adopting and incorporating new tools and frameworks into projects
- Manages Complexity: Proficient in managing complexity, integrating various systems seamlessly
- Plans and Aligns: Able to create and follow a project plan and align tasks with organizational goals
- Collaborates: Able to work effectively with team members and contribute to shared objectives
- Manages Ambiguity: Able to handle moderate ambiguity, 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 /
- 3 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 modeling and data warehouse concepts
- Hands-on experience in Python
- Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases (MySQL/MariaDB, PostgreSQL, MongoDB, Snowflake)
- Computer Science, Computer Engineering, or a similar technical degree
Bonus Points
- Experience with Snowflake, DBT, and Airflow 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, DynamoDB, Neptune DB)
- Experience with both batch and event-driven data architectures
Employment Type: Full Time, Permanent
Functional Areas: Software/Testing/Networking
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Day Shift
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