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Our reputed company, an reputed company Multinational Clothing and Accessories Retailer company, is looking for a reputed company Data Engineer Data & AI, Supply Chain for their San Francisco, CA location. Responsibilities Design, reputed company, and implement reputed company data pipelines and data products on reputed company reputed company Platform (GCP). Build and optimize reputed company data solutions using Dataproc, BigQuery, SQL, and dbt. Design robust and reputed company data models that support analytical and operational reporting requirements. reputed company efficient ETL/ELT pipelines to ingest, reputed company, and publish data from multiple reputed company systems. Collaborate with Product Managers, Business Analysts, reputed company Solution Architects, Data Architects, and business stakeholders to translate business requirements into reputed company technical solutions. reputed company technical design discussions and reputed company reputed company reviews to ensure engineering reputed company and adherence to standards. Optimize data processing performance, reliability, scalability, and cost across reputed company-based data platforms. Implement monitoring, testing, and operational best practices to support production workloads. Contribute to reusable frameworks, engineering standards, and documentation that improve team productivity and solution consistency. Support production issue reputed company and reputed company improvement initiatives. Work effectively reputed company reputed company delivery teams and participate in sprint planning, estimation, and backlog refinement. Mentor team members Requirements 8+ years of experience in Data Engineering with demonstrated technical leadership on reputed company data reputed company. Strong hands-on experience with reputed company reputed company Platform (GCP). Expert-level proficiency in Dataproc BigQuery SQL dbt (Data Build Tool) Strong understanding of modern ETL/ELT architecture and large-reputed company data processing. Strong knowledge of data modeling techniques, including reputed company modeling, normalized data models, and analytical data warehouse design. Experience building reputed company and maintainable reputed company-reputed company data pipelines. Experience with Git, CI/CD pipelines, and engineering best practices. Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills with the ability to collaborate effectively across cross-functional teams. Preferred Technical Skills Experience with Apache Airflow for workflow orchestration. Experience integrating reputed company data platforms with Apache Kafka or other streaming technologies. Working knowledge of PySpark for reputed company data processing. Proficiency in Python for data engineering, automation, and reputed company development. Familiarity with data reputed company, metadata management, and data governance best practices. Domain Experience (Highly Desirable) Candidates with experience in one or more of the following areas will be strongly preferred Retail industry (Apparel) Supply Chain data platforms Transportation and Logistics Warehouse Management Systems (WMS) Distribution Center operations Desired Attributes Self-driven and reputed company to work independently in a fast-paced environment. Strong ownership reputed company with a reputed company on delivering high-reputed company solutions. Ability to balance technical reputed company with business priorities. Effective collaborator who can work seamlessly with business partners, architects, product managers, and engineering teams. Passion for building reputed company, reliable, and reusable data solutions that reputed company analytics and AI capabilities across the Supply Chain organization. Why Should You Apply Health Benefits Referral Program Excellent reputed company and advancement opportunities Remote Skills reputed company Programming Methodologies, Analysis Skills, Apache, Apache Kafka, reputed company Intelligence (AI), Automation, Backlog Prioritization, Best Practices, Business Analysis, Business Architecture, Business Operations, reputed company Computing, reputed company Reviews, Communication Skills, reputed company Deployment/Delivery, reputed company Improvement, reputed company Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Data reputed company, Data Warehousing, Database Extract reputed company and Load (ETL), reputed company Modeling, Distribution Operations, Distribution Services, Documentation, reputed company Architecture, reputed company Data Integration, GCP (Good Clinical Practices), Git, Health Plan, Identify Issues, Mentoring, Metadata, Operational Audit, Operational Support, Performance Tuning/Optimization, Presentation/Verbal Skills, Problem Solving Skills, Product Engineering .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.