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Design, develop, and optimize advanced data solutions that enable business intelligence and analytics across the organization.

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Leveraging modern cloud technologies, you will architect scalable data pipelines, ensure data quality, and deliver actionable insights that support

strategic decision-making.

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Design and build data warehouse structures, including fact and dimension tables, to support scalable analytics and reporting solutions.

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Develop, optimize, and manage ETL/ELT processes across diverse data sources (ERP, CRM, IoT, streaming).

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Partner with business and technical teams to translate requirements into secure, high-quality data solutions.

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Implement and uphold data governance, security, and compliance standards across environments.

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Contribute to DevOps practices, including CI/CD pipelines, version control, and automated testing.

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Create clear documentation of architecture, workflows, and technical processes.

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Collaborate within Agile teams to iteratively deliver data capabilities and continuous improvements.

Requirements

Technical Skills:

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Proven ability as a seasoned, experienced professional with a full understanding of data engineering and related specializations.

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Demonstrated expertise in Microsoft Azure data services (Data Factory, Data Lake, Synapse Analytics, Databricks, Power BI).

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Hands-on experience with SQL, Python, and PySpark for data engineering and analytics.

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Strong knowledge of data warehousing concepts, relational and dimensional modeling, and modern data architecture.

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Experience integrating data from ERP/CRM systems (e.g., Oracle EBS, Salesforce) and streaming platforms.

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Skilled at working on problems of diverse scope, applying judgment to select appropriate methods, techniques, and solutions.

Soft Skills:

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Strong problem-solving and analytical skills.

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Attention to detail and a commitment to quality

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Excellent communication and collaboration skills with the ability to work independently and in cross-functional teams, typically receiving minimal

instruction on day-to-day tasks.

Skills, Specialized Knowledge (Desired):

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Experience supporting large-scale analytics in healthcare, life sciences, or

regulated industries.

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Familiarity with IoT/event hub integrations and advanced analytics platforms.

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Experience with Agile methodologies, process improvement, and stakeholder engagement.

Education:

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Professional certifications in Microsoft Azure, Databricks, or related cloud/data technologies.

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Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience).

Experience:

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At least 3 years’ experience: Proven hands-on experience in a data engineering professional.