SeniorContractEN
• Design, develop, and optimize advanced data solutions that enable business intelligence and analytics across the organization.
• Leveraging modern cloud technologies, you will architect scalable data pipelines, ensure data quality, and deliver actionable insights that support
strategic decision-making.
• Design and build data warehouse structures, including fact and dimension tables, to support scalable analytics and reporting solutions.
• Develop, optimize, and manage ETL/ELT processes across diverse data sources (ERP, CRM, IoT, streaming).
• Partner with business and technical teams to translate requirements into secure, high-quality data solutions.
• Implement and uphold data governance, security, and compliance standards across environments.
• Contribute to DevOps practices, including CI/CD pipelines, version control, and automated testing.
• Create clear documentation of architecture, workflows, and technical processes.
• Collaborate within Agile teams to iteratively deliver data capabilities and continuous improvements.
Technical Skills:
• Proven ability as a seasoned, experienced professional with a full understanding of data engineering and related specializations.
• Demonstrated expertise in Microsoft Azure data services (Data Factory, Data Lake, Synapse Analytics, Databricks, Power BI).
• Hands-on experience with SQL, Python, and PySpark for data engineering and analytics.
• Strong knowledge of data warehousing concepts, relational and dimensional modeling, and modern data architecture.
• Experience integrating data from ERP/CRM systems (e.g., Oracle EBS, Salesforce) and streaming platforms.
• Skilled at working on problems of diverse scope, applying judgment to select appropriate methods, techniques, and solutions.
Soft Skills:
• Strong problem-solving and analytical skills.
• Attention to detail and a commitment to quality
• 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):
• Experience supporting large-scale analytics in healthcare, life sciences, or
regulated industries.
• Familiarity with IoT/event hub integrations and advanced analytics platforms.
• Experience with Agile methodologies, process improvement, and stakeholder engagement.
Education:
• Professional certifications in Microsoft Azure, Databricks, or related cloud/data technologies.
• Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience).
Experience:
• At least 3 years’ experience: Proven hands-on experience in a data engineering professional.
