Cloud Integration Specialist

4 days ago

Madurai, Tamil Nadu, India beBeeData Full time US$ 1,00,000 - US$ 1,40,000
Job Description

Data Engineer – Cloud Integration

Unlock new possibilities in pharmaceutical supply chain data through advanced engineering and multi-cloud innovation.

Position Overview

We are seeking a Data Engineer with 5+ years of experience, deep expertise in the Microsoft Azure technology stack, and proven ability in integrating data from external data lakes, AWS data warehouses, and enterprise supply chain solutions like SAP. The ideal candidate will also have strong experience in data governance and building data automation tools using Python and related languages.

Key Responsibilities

  1. Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
  2. Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses (such as S3, Redshift) and SAP systems.
  3. Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.
  4. Build and maintain real-time and batch data integration workflows between Azure, AWS, and on-premises sources.

Requirements

  • 5+ years of professional data engineering experience.
  • Deep knowledge of Azure services, including Data Factory, Synapse Analytics, Data Lake Storage, and SQL Database.
  • Expert-level knowledge of database technologies, including relational databases (SQL Server, PostgreSQL) and NoSQL databases (Cosmos DB).
  • Proficiency in programming languages, including Python, SQL, PySpark, and PowerShell.
  • Hands-on experience with SAP data models and integrating SAP data with Azure data lake.

Preferred Skills

  • Experience with API-based data integration for cloud and enterprise applications.
  • Experience with Infrastructure as Code (ARM templates, Terraform).
  • Knowledge of containerization (Docker, Kubernetes) for data automation workflows.
  • Knowledge of machine learning pipelines and MLOps practices.
  • Experience with data visualization tool, Power BI.

Benefits

  • Competitive salary commensurate with experience.
  • Professional development training and certifications.

Work Environment

  • Remote work arrangement with flexible hours.
  • State-of-the-art technology and tools.
  • Collaborative, innovation-driven culture.
  • Access to cutting-edge pharmaceutical industry data and challenges.

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