Job Openings Data Engineer

About the job Data Engineer

Data Engineer (Azure / SAP / Snowflake)

Client: Nestlé
Engagement Type: Project-Based / Full-Time
Program: Data & Analytics Initiatives
Priority: High (3–4 headcounts required)

Role Overview

The Data Engineer will support Nestlés ongoing and upcoming Data & Analytics initiatives by designing, building, and maintaining Azure-based data marts and ETL pipelines.

The role requires strong collaboration with business and technical stakeholders to translate business rules into scalable data solutions, automate ETL processes, and develop reports and dashboards. SAP and Snowflake experience is highly preferred.

Key Responsibilities

1. Stakeholder & Requirements Engagement

  • Participate in key meetings and discussions with the client to understand:

    • Business rules

    • ETL specifications

    • Data transformation logic

    • Reporting requirements

  • Translate business requirements into technical data design specifications.

2. Data Architecture & Design

  • Perform data design activities as the foundation for Azure-based data mart development.

  • Conduct data mapping exercises to ensure accurate transformation and integration of source systems.

3. ETL Development & Automation

  • Develop and automate ETL jobs using:

    • Azure Data Factory

    • Azure Databricks

    • Azure Logic Apps

  • Build scalable and reusable ETL pipelines to generate report-ready data marts.

4. Reporting & Dashboard Development

  • Develop actual ETL jobs and support creation of reports and dashboards based on business requirements.

  • Ensure data accuracy, integrity, and readiness for analytics consumption.

5. Documentation & Knowledge Transfer

  • Maintain comprehensive documentation of processes, data flows, and transformations.

  • Maintain data records and technical artifacts.

  • Support structured handover and knowledge transfer sessions with the client team.

Required Experience & Background

  • Proven experience as a Data Engineer in Azure-based environments.

  • Hands-on expertise in:

    • Azure Data Factory

    • Azure Databricks

    • Azure Logic Apps

  • Experience in performing data mapping and data mart design.

  • Experience building ETL jobs and report-ready datasets.

  • Experience working with SAP data sources (preferred).

  • Experience working with Snowflake (preferred).

Core Competencies

  • Strong SQL and data transformation skills

  • Data modeling and mapping capability

  • ETL automation and optimization

  • Documentation discipline

  • Client-facing communication skills