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Sr Staff, Software Engineer

72% Flex
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
India

Offer summary

Qualifications:

Expertise in data engineering solutions, Proficiency in PySpark, Python, Databricks.

Key responsabilities:

  • Design and implement scalable data pipelines
  • Implement MLOps practices for model deployment
  • Detect and mitigate data drift
  • Utilize Vector DB for data management
  • Manage Feature Store for sharing feature data
Gap Inc. logo
Gap Inc. Retail (Super / Hypermarket) XLarge https://jobs.gapinc.com/
10001 Employees
About Gap Inc.
Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team.
See more Gap Inc. offers

Job description

Logo Jobgether

Your missions

About the Role
In this role, you will design highly scalable and high performing technology solutions in an Agile work environment by developing creative and innovative solutions using and Agile practices. You will collaborate closely with key business support teams, product managers, security and architecture to assist in resolving critical production issues to help simplify and improve business processes through the latest in technology and automation. You are a technical expert and will lead through the requirements gathering, design, development, deployment, and support phases of a product. You will leverage your in-depth knowledge of domain and core programming technologies or packages and architecture to influence the direction of the product.
What You'll Do

Must-Have - Databricks, Delta Lake, PySpark (Apache Spark), MLOps, Data Drift Detection, Vector DB and Feature Store

Data Engineering Solution Architect with expertise in designing and implementing scalable data solutions, including architecting robust data pipelines. Strong proficiency in data architecture, ETL processes, MLOps practices for efficient model deployment, and utilizing technologies such as Databricks, DataLake, Vector DB, and Feature Store are essential.

Tech Skills

  • Design, optimize, and maintain scalable data pipelines using PySpark (Apache Spark), Python, Databricks, and Delta Lake.
  • Implement MLOps practices for efficient deployment and monitoring of machine learning models.
  • Develop strategies and tools for detecting and mitigating data drift.
  • Utilize Vector DB for effective data querying and management.
  • Establish and manage a Feature Store to centralize and share feature data for machine learning models.
  • Ensure data integrity and quality throughout all stages of the pipeline.
  • Collaborate with teams and stakeholders to deliver impactful data solutions.
  • Demonstrate proficiency in Python programming, PySpark (Apache Spark), data architecture, ETL processes, and cloud platforms (AWS, Azure, GCP).
Who You Are

Soft Skill

  • Collaborate effectively with cross-functional teams and stakeholders to deliver impactful data solutions.
  • Demonstrate strong communication skills to articulate complex technical concepts to non-technical stakeholders.
  • Exhibit problem-solving skills to address data-related challenges and optimize processes.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Retail (Super / Hypermarket)
Spoken language(s):
English
Check out the description to know which languages are mandatory.
Are you interested?

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