Senior Software Engineer - Data Products
Location
Bangalore | India
Job description
The Data Development, Insights & Strategy team is a highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data strategically for our customers, partners, and associates.
We are looking for strong engineers, who can lead the technology and design of significant parts of RedHat’s Data Development Platform for creating next generation data products & applications. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, thrive in a startup like environment, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then we are the TEAM for you!
We are looking for a Software Engineer to join our Data Platform and Data Products team in Bangalore, India. In this role, you will elevate Red Hat’s data-driven culture and execution by building and evolving data products that support Red Hat’s operational and analytical needs. You will deliver data products (code + data) that service the entire organization, not just your own departmental requirements, through an InnerSource collaboration model. Your expertise in software and data engineering practices, combined with a passion for internal customer adoption, will ensure that your data products lead to composable business solutions.
- Evolve existing source data pipelines to an ELT model of data ingestion
Cleanly separate source-aligned data products from aggregate data products - Richly decorate your data products with metadata to support knowledge transfer, adoption, and the application of Machine Learning
- Tag and classify your data assets to ensure they are used responsibly throughout the organization, applying masking or restricting access where appropriate
- Apply software engineering best practices to your code release process to support CI/CD and a high velocity collaboration model based on InnerSource
- Register and maintain the catalog entries for your data products to support discoverability and reuse
- Ensure your data products easily join with other business data products using common identifiers and keys
- Develop automated and resilient processes that support the end-end delivery of business value
- Publish and deliver on a data product SLO for your data ‘customers’
Responsibly share your data products with other internal consumers while balancing the core needs of security and compliance - Contribute feedback and recommendations to the Data Platform team in order to remove friction and increase scale for all users
- Write custom adapters to integrate internal data sources into the centralized Warehouse environment
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- 4+ years of software development experience with a focus on data applications & systems
- Exceptional software and data engineering skills that lead to elegant and maintainable data products
- Expert level proficiency in using SQL for data transformation
- Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc.
- Strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one
- Sets and resets the bar on all things quality, from code through to data, and everything in between
- Deep empathy for your users of your data products, leading to a constant focus on removing friction, increasing adoption, and delivering business results
- Prunes and prioritizes work in order to maximize your contributions and impact
- Bias for action and leading by example
- Past experience in building enterprise data products that have a high level of governance and compliance requirements
Optional Skills
- Familiarity with open source or inner source development and processes
- Familiarity of data mesh architectural principles
- Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer
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