Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Premium Employer

Apple

Compare

4.3

based on 538 Reviews

Video summary

206 Apple Jobs

Data Engineer - Global Sourcing & Supply Management (GSSM) Solutions

Apple India Pvt Ltd

4.3

based on 538 Reviews

3-8 years

Bangalore / Bengaluru

1 vacancy

Data Engineer - Global Sourcing & Supply Management (GSSM) Solutions

Apple

posted 5hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Supply Chain Management SQL Cloud Computing Analytical Chemistry Data Architecture

+ 2 more

Job Description

As Data Engineer on our core AIML team, you will be at the forefront of designing and developing scalable data systems to empower our AIML and GenAI applications. You will be working closely with business stakeholders, data scientists, and IT groups closely and take an active role in effectively communicating the recommendations to senior management. Your work will empower strategic and tactical decision-making processes within our supply chain, driving us towards greater efficiency and success. If you thrive in a collaborative environment, are passionate about leveraging AIML to solve complex business problems and are excited about the opportunity to make a significant impact in a dynamic tech industry, we want to hear from you! Key Responsibilities - Architect, develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across Apple s supply chain teams. - Develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. - Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. - Ensure data quality through setting up data quality management frameworks and anomaly detection capabilities. - Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations

Minimum Qualifications

5+ years of hands-on experience in data architecture, dimensional modeling, data warehousing and data engineering
Proficiency in SQL, Python, and Spark, with experience handling large datasets.
Experience with AIML and GenAI solutions
Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang) and workflow management tools like Airflow
Bachelor s or Master s degree in Computer Science, Statistics, Applied Math or a related field

Key Qualifications

Preferred Qualifications

Experience with modern data architecture like data lakes, data lakehouse and cloud computing platforms like AWS, Google Cloud
Experience with version control systems, CI/CD practices, testing, and migration tools for database and software
Exhibit excellent oral and written communication skills, with the ability to work individually, navigating through ambiguity or as part of a team
Passion for new and emerging technologies
Ability to communicate technical issues with a non-technical audience
Maniacal attention to detail