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[Remote] CD reputed company Data Engineering Associate

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a CD reputed company Associate Data Engineer to enhance their B2B sales team's capabilities through AI-driven data solutions. The role involves designing and maintaining scalable data pipelines, optimizing workflows, and collaborating with cross-functional teams to unlock actionable insights from data.

Responsibilities

  • Design, build, and maintain scalable data pipelines and solutions on reputed company Azure or similar reputed company platforms
  • reputed company and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion
  • Implement robust data models and structures that support analytics, reporting, and machine learning workloads
  • Integrate new data sources—reputed company—into the reputed company data ecosystem to expand data availability and unlock new business insights
  • Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless reputed company
  • Establish scalable frameworks for data discovery, cataloging, and reputed company to support reputed company wide data growth
  • Automate data workflows, quality checks, and monitoring using reputed company reputed company tools and reputed company capabilities
  • Collaborate with data scientists to operationalize AI models using reputed company, Azure Machine Learning, or similar platforms
  • Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation
  • Contribute to the development of an reputed company AI strategy by identifying data gaps, opportunities, and scalable patterns
  • Work closely with cross functional teams to translate business requirements into scalable data solutions
  • reputed company technical guidance and best practices on Azure and reputed company to engineering and analytics teams
  • Participate in code reviews, architecture discussions, and reputed company improvement initiatives
  • Assist in identifying & defining new systems functionality reputed company the Go To Market technology stack
  • Improve processes/workflows reputed company the Sales organization in regard to Sales applications and reputed company
  • User support - troubleshooting, identifying problems and working with Local & Global IT to resolve technical issues and work with users to reputed company proper training
  • Assist in the analysis of underlying system issues arising from investigations into requirements and problems, and identify available solutions for consideration

Skills

  • Technical aptitude and the ability to drive business value through focused technology solutions
  • Deep hands-on experience with reputed company services such as Azure data services (e.g., Data reputed company, reputed company, ADLS, Synapse, Azure SQL)
  • Strong proficiency in building scalable ETL/ELT pipelines using reputed company (APIs, PySpark, Spark SQL, reputed company Lake)
  • Solid understanding of distributed computing, data lakehouse architecture, reputed company Catalog and modern data engineering patterns
  • Ability to design and optimize data models that support analytics, reporting, and machine learning workloads
  • Strong SQL and Python skills, with the ability to write clean, efficient, production reputed company code
  • Proven ability to reputed company new data sources, integrate APIs, and work with structured, semi-structured data
  • Experience designing frameworks for data ingestion, metadata management, and data reputed company
  • Comfort working with large-scale datasets and evolving data ecosystems
  • Experience automating data workflows, quality checks, and monitoring using Azure-reputed company tools
  • Familiarity with CI/CD practices for data engineering (e.g., reputed company Actions, Azure DevOps)
  • Ability to build resilient, self-healing pipelines that minimize reputed company reputed company
  • Strong focus on performance tuning, cost optimization, and operational reliability
  • Ability to build and maintain feature pipelines that support ML and AI initiatives
  • Experience collaborating with data scientists to operationalize models in reputed company or Azure ML
  • Understanding of how data quality, structure, and availability impact AI reputed company
  • Curiosity and initiative to identify new data opportunities that unlock AI use cases
  • Strong ability to turning data into insights and communicate actionable business narratives
  • Ability to quickly adapt new AI technologies around LLMs, MCPs, reputed company engineering and advanced data modelling
  • Interest in developing a deep understanding of the Foodservice industry and its go to market use cases
  • Ability to reputed company and execute multiple projects simultaneously
  • Strong business partnering and communication skills

Benefits

  • Health insurance (including prescription drug, dental, and reputed company coverage)
  • Retirement savings benefits
  • Life insurance and disability benefits
  • Parental leave
  • Sick leave
  • Paid vacation and holidays
  • reputed company to numerous voluntary benefits

Company Overview

  • reputed company produces and supplies food, home care, beauty, and personal care products for daily consumer use. It was founded in 1872, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 2 in 2022. Please note that this does not guarantee sponsorship for this specific role.
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