Cloud engineer (data engineering focus)

Job Overview

Design and deliver scalable, secure, and high-performance data pipelines on Azure, enabling real-time and batch data processing to support analytics, reporting, and machine learning & relevant cloud certifications.

Key Responsibilities Build and maintain robust, scalable data pipelines (batch & real-time) Manage and optimize Azure cloud data platforms Ensure data quality, validation, lineage, and governance Implement automation, monitoring, and performance tuning Collaborate with Data Scientists, Analysts, and Business teams Provide L2/L3 support for data-related issues Contribute to continuous improvement and best practices Required Certifications (Mandatory)

At least one of the following certifications is required:

AWS Certified Solutions Architect (Associate/Professional) Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert Google Professional Cloud Engineer Core Technical Skills Cloud (Azure): Data Factory, Synapse, Databricks, Microsoft Fabric Programming: Python, Py Spark (Scala advantageous) Data Pipelines: ETL/ELT, batch and streaming architectures Streaming Tech: Kafka, Azure Event Hub Databases: SQL, Data Warehousing concepts (DB2/Netezza advantageous) Data Ops: CI/CD pipelines, orchestration (e.g., Airflow or similar) Infrastructure as Code: Terraform / ARM templates (preferred) APIs: Exposure to building/consuming data services Application Notice

Should you not receive any feedback within three (3) weeks of submitting your application, please consider your application unsuccessful. #J-18808-Ljbffr