Arrow Electronics
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Ahmedabad · On-site · 5-8 Yrs · 4 days ago
Electronics Manufacturing · 10000+ Employees · Centennial, US
The work Arrow Electronics, Inc. (NYSE: ARW) does goes into everything from cars to coffee makers to cruise missiles. Pads, pods, tablets, video games, refrigerators, kiosks and cable boxes. Whether it's amazing or mundane, something you've never seen before or the things you can't live without-- you name it. If it takes a charge, chances are, it was built with Arrow. We are a Fortune 148 company with revenues of $30.9 billion in 2025. Visit us at FiveYearsOut.com.
Hiring: Engineering
What employees say
+ Great Work Life Balance Good Project Exposures
− I don't see any Cons during my tenure
More reviews on the company profile.
Interview experience · Azure Architect
Before Information Technology Manager II joined the call, the interview had just started and it was going smoothly. Then Information Technology Manager I asked about a few Azure PAAS services where I don't have any exper
Very_difficult difficulty · Bengaluru · 35 reports
More interview insightsJob description
Overview
Position: Data EngineerJob Description:
Responsibilities
- Design, develop, and maintain data pipelines and architectures.
- Implement and optimize data integration and transformation processes.
- Collaborate with data scientists and machine learning engineers to integrate AI/ML models into data workflows.
- Utilize cloud platforms (AWS, GCP, Azure) to deploy and manage data solutions.
- Ensure high-quality data ingestion and processing through rigorous testing and validation.
- Participate in code reviews to maintain high code quality and standards.
- Troubleshoot and debug data engineering solutions, ensuring reliability and performance.
- Work with version control systems (preferably git) to manage and maintain codebases.
Qualifications
- Data Technologies: Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions.
- Programming Languages: Proficiency in Python is a must.
- Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP.
- Visualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Data Governance: Knowledge of data governance and security practices.
- CI/CD: Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes).
- Communication Skills: Excellent verbal and written communication skills in English.
- Agile Methodologies: Experience working in Agile development environments.
- AI/ML Awareness: Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications.0
- Generative AI Awareness: Familiarity with Generative AI technologies and their potential use cases.
Nice to have
- APIs: Understanding of RESTful APIs and their integration into data workflows.
- Advanced Analytics: Knowledge of advanced analytics and statistical techniques.
- Microservices: Familiarity with microservices architecture and its implementation.
- Data Lakes: Understanding of data lakes and their role in modern data architecture.
- Scripting: Proficiency in shell scripting and automation.
- AI/ML Deployment: Experience working with and deploying AI/ML models in production environments.
- Big Data Tools: Experience with Hadoop, Spark, Kafka, and other big data technologies.
Education
- Certifications: Relevant certifications in data engineering, cloud platforms, or AI/ML are a plus.
Verify Software Engineer for this role
Free PRACTICE for Software Engineer adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Software Engineer free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 5 October 2026
- How do I apply for Data Engineer, Engineering Services at Arrow Electronics?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Arrow Electronics may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer, Engineering Services role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer, Engineering Services remote or on-site in Ahmedabad, Gujarat?
- This listing is marked on_site with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this Data Engineer, Engineering Services role at Arrow Electronics?
- This is a mid-level Data Engineer, Engineering Services role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.