Data Engineer

Overview

Data Engineer 1 role in Illumina Digital Services (IDS), building data pipelines, platforms, and products that enable analytics, AI, reporting, and enterprise decision-making.

What you'll do

• Build, test, and maintain data pipelines, transformations, and data models using modern data engineering practices.
• Integrate data from applications, APIs, databases, cloud platforms, and file-based sources.
• Perform data validation, reconciliation, and quality checks to ensure data accuracy and reliability.
• Monitor and troubleshoot data pipelines and support production operations.
• Apply engineering best practices for performance optimization, testing, version control, deployment, and documentation.
• Participate in code reviews, Agile ceremonies, and technical discussions.
• Collaborate across teams to deliver reliable and scalable data solutions.
• Use AI-assisted development tools responsibly to improve productivity while maintaining quality, security, and data integrity.

What you'll need

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related discipline.
• Foundational SQL and Python skills gained through coursework, projects, internships, hackathons, or independent learning.
• Understanding of relational databases, data modeling, and ETL/ELT concepts.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication and collaboration skills.
• Demonstrated ownership, curiosity, integrity, adaptability, and commitment to continuous learning.

Nice to have

• Experience or exposure to cloud platforms such as Azure, AWS, or Google Cloud.
• Exposure to data engineering technologies such as dbt, Spark, Snowflake, Databricks, or similar platforms.
• Exposure to Git, testing frameworks, CI/CD, or software engineering best practices.
• Exposure to data formats such as JSON, CSV, Parquet, or Delta Lake.
• Exposure to AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies.

Details

• Location: Bengaluru (Manyata), India.
• Hybrid work model: work from the office a minimum of three days per week.
• Work with global teams across functions, geographies, and time zones.
• Not eligible for visa sponsorship.