macOS Software Engineer, Swift
Gen
MacOSPythonSwift
Senior Specialist, Engineering, Development and Integration
Organon
full-time
Posted on:
Location Type: Hybrid
Location: Prague • 🇨🇿 Czech
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudInformaticaPythonSQL
About the role
- Design, build, and maintain scalable data products that enable data-driven decision-making across the organization.
- Develop and optimize systems to ingest, process, and store data from various sources, ensuring seamless integration with data products.
- Architect and implement data models, databases, and warehouses tailored to support innovative data products and solutions.
- Create efficient structures and pipelines for organizing, storing, and delivering data in ways that maximize usability and insights.
- Ensure the integrity, security, and compliance of data within all data products and platforms.
- Define and uphold standards, guidelines, and best practices for data product engineering.
- Identify, design, and implement improvements to enhance the functionality, performance, and scalability of data products.
- Collaborate with cross-functional teams to align data products with business objectives and stakeholder needs.
Requirements
- 5+ years of experience in data engineering, with a focus on building and delivering data products.
- 3+ years of hands-on experience with Snowflake, including designing and managing Snowflake-powered data products.
- Proficiency in programming languages like Python and SQL, with a focus on developing data solutions.
- Demonstrated expertise in creating and implementing data engineering standards and strategies for data product development.
- Experience with integration tools such as Informatica and AWS Glue, particularly in the context of data product pipelines.
- Strong understanding of data modeling techniques and their application to develop robust data products.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and their role in hosting and scaling data products.
- Exceptional analytical and troubleshooting skills to resolve complex issues in data products.
- High level of accountability, self-motivation, and a proactive approach to problem-solving.
- Strong communication skills in English, with the ability to articulate technical concepts to diverse audiences.
- Proven ability to collaborate with teams and stakeholders to deliver impactful data products.
- Experience in supporting AI-driven initiatives through data products.
- Prior involvement in data product implementation is highly desirable.
- Bachelor’s degree in computer engineering/systems or equivalent experience.
Benefits
- Flexible Work Arrangements: Hybrid
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata modelingPythonSQLSnowflakeInformaticaAWS Gluedata product developmentcloud platformsdata pipelines
Soft skills
analytical skillstroubleshooting skillsaccountabilityself-motivationproactive problem-solvingcommunication skillscollaborationstakeholder engagementteamworkadaptability
