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Nestle

Global branded foods and beverages producer

Data Engineer (dbt)

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is required.
  • At least 4 years of experience in data engineering or data-intensive development roles is required.
  • Expertise in SQL, Python, CI/CD processes, and Git is required.
  • Strong knowledge of data modeling, ETL processes, and data integration techniques is required.
  • Hands-on experience with Azure Data Factory, Snowflake, and containerized solutions such as Docker is required.
  • Hands-on experience with orchestration tools such as Apache Airflow and dbt is required.
  • A solid understanding of data science concepts, machine learning frameworks, and big data technologies such as Hadoop and Spark is required.
  • Ability to manage competing priorities and deliver projects within deadlines is required.

Responsibilities

  • Design, construct, install, test, and maintain scalable data pipelines and management systems.
  • Develop and optimize data pipelines using orchestration tools such as Airflow, dbt, and Azure Data Factory.
  • Develop and maintain data warehouse transformations using dbt and modern data warehousing techniques such as dimensional modeling and incremental processing.
  • Collaborate with data architects and IT teams to translate complex requirements into detailed designs.
  • Ensure compliance with internal security and regulatory standards across data processes.
  • Integrate new data management technologies and software engineering tools into existing structures.
  • Create custom software components and analytics applications to support business intelligence needs.
  • Monitor pipeline stability and performance, and implement remediation plans when necessary.
  • Provide data-access tools and visualization capabilities for non-technical users.

Desired Qualifications

  • Experience with streaming data processes and real-time analytics using Kafka and Flink.
  • Focus on performance optimization and cost monitoring.
  • Experience with business intelligence tools, with Power BI preferred, and data visualization.
  • Familiarity with marketing, eCommerce, and media data sources and their use cases.

About the Company

Nestle

Global branded foods and beverages producer

Nestlé manufactures and markets branded foods, beverages, pet care, and nutrition products in about 185 countries. Its products are produced at scale and distributed through retail, foodservice, and direct-to-consumer channels, backed by a global R&D network. Distinctive factors include its enormous global footprint, a diversified lineup from coffee to pet care to infant nutrition, and the combination of retail plus professional channels. Its goal is to provide reliable, high-quality nutrition to people worldwide while advancing nutrition science through its research and brands.

Company size
10,001+
Company stage
IPO
Headquarters
Vevey, Switzerland
Founded
1866

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