Data Engineer
ILLUMINZ · Bengaluru · onsite · Posted 2d ago
Undisclosed3–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Work Environment
What You'll Do
What Were Looking For
Required Qualifications
Preferred Exposure
What Success Looks Like
Build the data foundations that power analytics, AI, and business decisions. Join Illinimas IDS team and help build modern data pipelines, platforms, and products that enable analytics, AI, reporting, and enterprise decision-making. This role is ideal for individuals who enjoy solving problems with data, learning new technologies, and building a career in Data Engineering.
Working alongside experienced engineers, architects, analysts, product owners, and business stakeholders, you will gain hands-on experience with cloud technologies, modern data engineering practices, and AI-assisted development while contributing to enterprise-scale solutions.
Work Environment
- This role follows Illuminas hybrid work model and requires employees to work from the office a minimum of three days per week.
- Collaborate with experienced engineers, architects, analysts, product owners, and business stakeholders.
- Gain exposure to modern cloud technologies, enterprise-scale data platforms, and AI-assisted development practices.
- Learn in an environment that encourages mentorship, innovation, continuous development, and knowledge sharing.
- Work with global teams across functions, geographies, and time zones.
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 Were Looking For
We recognize that candidates may not have experience with every technology listed. We value learning agility, curiosity, problem-solving ability, and practical application demonstrated through academic projects, internships, hackathons, open-source contributions, or independent learning.
Required Qualifications
- Bachelors 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.
Preferred Exposure
Experience or exposure to one or more of the following is a plus:
- Cloud platforms such as Azure, AWS, or Google Cloud.
- Data engineering technologies such as dbt, Spark, Snowflake, Databricks, or similar platforms.
- Git, testing frameworks, CI/CD, or software engineering best practices.
- Data formats such as JSON, CSV, Parquet, or Delta Lake.
- AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies.
What Success Looks Like
- Learn Quickly - Develop practical capability in SQL, Python, cloud technologies, and data engineering fundamentals.
- Deliver Reliably - Produce high-quality, tested, and documented solutions.
- Take Ownership - Communicate proactively, seek feedback, and continuously improve.
- Collaborate Effectively - Contribute positively within Agile and cross-functional teams.
- Maintain Quality and Security - Treat data quality, reliability, privacy, and security as essential.
Sourced from naukri
Skills
AgileData Engineerdata formatscloud platformsapiscloud technologiesdata platformsamazon web servicescopilotCSVcontinuous developmentAnalyticsdata modelsData EngineeringcloudcomplianceMicrosoft AzureData ModelingData PipelineArtificial Intelligence
About ILLUMINZ
ILLUMINZ
IT Services & Consulting
70
employees
2009
17 years old
Mohali, Punjab
India
₹5.6L PA avg
Avg at ILLUMINZ
About
illuminz is a dynamic team of digital experts dedicated to converting brilliant ideas into successful digital solutions.
Industries
IT Services & ConsultingSoftware Product
Employee ratings
10 reviews
2.1/ 5
Culture
2.4
Career growth
2.3
Work-life
2.4
Employees rate it well for
Skill Development25Compensation & Benefits23
Find them on