Description - External At AT&T we bring the world together with technology in ways you never imagined. With a range of products and services enhancing how you live, play and work, we’re keeping you connected to the future. We rely on the latest in data sciences and engineering to curate, analyze and improve our customer experience and operations.
The Opportunity: The Data Science team at AT&T strives to lead transformation through data-driven decisions that advance the customer experience and businesses around the world. With access to one of the coolest and largest data sets available, we enable the discovery and development of meaningful insights that inspire continuous innovation. We are seeking an experienced self-driven Data Engineer who is comfortable being part of a small skunk works team responsible for building, designing, and end-to-end ownership of a scalable software product tasked to deliver intelligent data-driven products.
Responsibilities:
Develop high-performance, scalable, distributed computing tasks using Python, PySpark, and other distributed environment technologies.
Design, develop, and maintain scalable data pipelines for collecting, processing, and storing large datasets.
Deploy and integrate Generative AI models, including Large Language Models (LLMs), into production environments.
Implement effective prompt engineering strategies to enhance model performance and outputs.
Utilize FastAPI for creating robust APIs and write efficient Python code to support data processing, model deployment, and AI-driven solutions.
Use big data programming languages and technology to write code, complete programming and documentation, and perform testing and debugging of applications.
Analyze, design, program, debug, and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions.
Interact with data scientists and industry experts to understand how data needs to be converted, loaded, and presented.
Work in a highly agile environment.
Manage day-to-day work and deliverables.
Qualifications:
Educational Background: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Scientific Computing preferred.
Experience: Typically requires 12 plus years of relevant experience.
Technical Skills:
Proficiency in Python, Scala, and SQL.
Hands-on experience with popular back-end frameworks.
Expertise in backend API development or Integration using FastAPI, Flask, or Django.
Experience with data processing and analysis libraries such as Pandas, NumPy, and PySpark.
Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Domain Knowledge: Familiarity with telecom datasets.
Cloud Expertise: Experience with Azure cloud services.
Communication Skills: Strong ability to communicate effectively with all levels of management, understand business requirements, and define project roadmaps.
#DataEngineering
Weekly Hours:
40
Time Type:
Regular
Location:
Bangalore, Karnataka, India
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.
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