BENGALURU · INTERNSHIP
Data Engineer
Kinara
Bengaluru · onsite · Posted 29d ago
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Undisclosed1–6 yrsinternshipBengaluru
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Section · 01
About this role
Position Summary: Core Skills: Required Qualifications: Preferred Qualifications: Competencies:
More information about NXP in India... #LI-29f4
We are looking for an enthusiastic entry-level Data Engineer with a growing DevOps mindset to help build and maintain reliable, scalable data pipelines that power business functions across the enterprise. This is a great opportunity for an early-career engineer to learn, grow, and build hands-on expertise - youll support the team in developing data pipelines, learn CI/CD and operational practices, and take on increasing responsibility under the guidance of senior engineers.
Databricks Python (PySpark) SQL Data Pipelines CI/CD
Key Responsibilities: Engineering & Delivery: - Help build and maintain data pipelines on Databricks under guidance.
- Develop ETL/ELT processes with attention to data quality, consistency, and scalability.
- Contribute to reusable frameworks for ingestion, transformation, and reconciliation across source systems.
- Follow established engineering standards - coding standards, pipeline patterns, and ETL/ELT best practices.
- Assist with deploying changes through CI/CD and the Change Request (CR) lifecycle, including validation and ticket closure.
- Participate in problem-solving and root-cause analysis, learning to drive permanent fixes over recurring firefighting.
- Help monitor data workloads and support incident response with guidance from senior engineers.
- Work with Reporting, Platform, and Business teams to help deliver curated datasets for downstream consumers.
- Communicate progress and issues clearly to engineering peers and mentors.
- Document workflows and runbooks to support reproducibility and knowledge sharing.
- In your first 6-12 months, youll build a solid understanding of the data platform, confidently deliver assigned pipeline tasks, and become comfortable with CI/CD and operational practices - with support from senior engineers.
- Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
- 1+ years of experience (including internships) in data engineering or a related area - fresh graduates with relevant internships are encouraged to apply.
- Foundational hands-on knowledge of Databricks, Python (PySpark), and SQL for data processing.
- Exposure to building data pipelines (ETL/ELT), through projects, internships, or coursework.
- Basic understanding of CI/CD pipelines and Git-based version control.
- Familiarity with cloud platforms (AWS preferred) or willingness to learn.
- Awareness of monitoring and observability concepts.
- Good communication skills and eagerness to learn.
- Exposure to orchestration frameworks or streaming technologies.
- Basic familiarity with Infrastructure-as-Code and deployment tooling.
- Awareness of observability tooling for data platforms.
- Background or interest in semiconductor manufacturing or large-scale industrial data processing.
- Any Databricks or cloud certification is a plus.
- Eagerness to learn and grow data engineering skills.
- Ownership mindset - takes pride in the quality of assigned work.
- Problem-solving orientation - curiosity and attention to detail.
- Collaboration - works well with peers and mentors across teams.
- Clear communication - able to explain technical details to peers.
More information about NXP in India...
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualityDevopsData Engineercloud certificationCI/CD Pipelinescoding standardscloud platformsdata platformsamazon web servicesDownstreamdeploymentDatabricksData EngineeringcloudCommunication SkillsData ProcessingData Pipeline
Section · Company
About Kinara
Kinara
Biotechnology
None
CU
₹25L PA avg
Avg at Kinara
About
Kinara delivers unrivaled edge AI solutions to accelerate and optimize real-time decision-making by powering smart edge devices and gateways that demand responsive AI computing at high energy efficiency. The company focuses on innovative technologies that enhance performance and energy efficiency in AI applications. By providing comprehensive support and training, Kinara ensures customers can effectively utilize their products and solutions.
Industries
AI InfrastructureArtificial Intelligence (AI)Computer VisionSemiconductorSoftware
Employee ratings
6 reviews
3.8/ 5
Culture
3.7
Career growth
3.2
Work-life
3.8
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