Data Engineer -Kraft Heinz

Key responsibilities

- - Contribute to the design, delivery and maintenance of appropriate data solutions to provide the correct data for analytical development to address key issues within the organisation.
- Gather detailed data requirements and collaborate with a cross-functional team to deliver high quality results (such as Tableau developers, analysts, business users).
- Work closely with peer data engineers on a regular basis, participating in code reviews and team-based delivery.
- Support the development and operation of modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- Contribute to shared frameworks for data ingestion, processing, and integrations where appropriate, growing toward independent framework work over time.
- Extend DevOps capabilities for deploying data solutions.
- Support creation and adoption of data assets for the organisation, putting data quality as the focus of all data solutions.
- Act as a data owner and functional data subject matter expert for the assigned area.
- Seek and act on feedback from senior engineers to accelerate growth and improve code quality.
- Ensure effective and timely delivery of project work, raising issues and risks in a timely manner to the project manager to ensure appropriate actions can be taken to mitigate.




- Develops familiarity with data design principles and architecture patterns, applying best practices under the guidance of senior engineers.

Qualifications & experience

- - Bachelor's degree or higher in Computer Science, Statistics, Business, Information Technology, or related field
- 5 to 8 years of experience in data engineering or a closely related technical role; recent graduates with strong project work considered
- Beginner exposure to cloud platforms (Azure, AWS, or GCP) — willingness to develop deeper cloud and DevOps skills on the job
- Foundational SQL proficiency — able to write and read queries with support; familiarity with tools such as dbt or Snowflake is a plus
- Beginner to intermediate Python — able to read and write pipeline code with support from senior engineers; JavaScript and R are a plus
- Experience building APIs is desirable; experience with GraphQL is a plus
- Awareness of DevOps and CI/CD concepts; hands-on experience is a plus but not required
- Familiarity with Agile methodologies
- Ability to manage own tasks and deadlines; solid communication skills
- Self-starter, driven with high business process acumen
- Team player with a positive attitude and ability to work across different business stakeholder and technical teams to accomplish complex tasks

📌 Data Engineer -Kraft Heinz (India)
🏢 Letitbex Ai Tech Solutions
📍 India