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Job Description & How to Apply Below
Location: Bengaluru
We are recruiting for the Commercial Data Products team at the Kenvue, Global Capability Center at Bangalore, India.
The Commercial Data Products team is as a strategic enabler for commercial excellence by building reusable, scalable, and governed data assets that power decision-making across sales, revenue growth management and commercial business insights. Our work transforms raw, fragmented data into trusted, consumption-ready products that deliver measurable business value.
What you will do
The Staff Data Engineer is responsible for Software Development Engineering and performing work in the following areas:
Data Engineering & Data Modelling:
- Creating data architectures and logical/physical data models for databases and data warehouses
- Forge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products
Data Warehouse Development & Administration:
- Designing, developing, implementing, and maintaining a data warehouse to integrate data from various sources/systems within an organization
- Developing strategies for data acquisition, archive recovery, and database implementation
- Managing data migrations/conversions and troubleshooting data processing issues
- Focus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products
- Lead data engineering teams, building and improving next generation data & analytics capabilities within Dev Sec Ops framework
- Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology
- Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions
- Be an expert and a thought leader of how data and technology come together to empower the business
- Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics Using programming, scripting, and/or database languages to write the software code
• Supporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements
- Applying knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations
Key Responsibilities
- Main accountabilities includes:
• Designing, building, and maintaining data products and pipelines
• Developing and deploying data models
• Monitoring and troubleshooting data systems
• Working with product owners, data scientists and other stakeholders to understand the business needs and to build data solutions that meet those needs
• Keeping up with the latest trends in data engineering
• Providing training on data engineering concepts and techniques to other members of the team
• Writing documentation for data pipelines and data models
• Participating in data governance initiatives.
What We Are Looking For
Required Qualifications
- Typically requires a minimum of 12 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 7 years and a Master degree in Computer or Software Engineering;
- Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.
- Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists.
- 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry
- 8-10 years of progressive experience with developing full stack Data Frameworks: ETL/ELT, data analysis, compute & storage, data…
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