Offer summary

Qualifications:

Bachelor's or master's degree in computer science, engineering, or related field., 5 to 7 years of experience in data engineering with a focus on cloud solutions., Expertise in Azure Synapse Analytics and proficiency in SQL, Python, and PySpark., Familiarity with Azure IaC and CI/CD automation, along with strong data modeling knowledge..

Key responsabilities:

Design and implement scalable data warehousing solutions in Azure Synapse.

Analyze and migrate data systems to Azure Cloud, optimizing data flow.

Consult with stakeholders to define data requirements and provide technical guidance.

Implement data security policies and optimize data integration pipelines.

Job description

Requirements:

Bachelors or master's degree in computer science, Engineering, Information Technology, or a related field.
5 to 7 years of experience in data engineering with a strong focus on cloud-based solutions.
Expertise in Azure Synapse Analytics, including data integration, management, and security.
Proficient with SQL, Python, PySpark, and other scripting languages commonly used in data engineering.
Familiar with Azure IaC (Infrastructure as Code) and CI/CD automation using ARM, Bicep or Terraform
Deep knowledge of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes and experience with Azure Data Factory.
Strong understanding of data modeling (Data Vault 2.0 experience or certification preferred), data warehousing, and data lakes.
Proven consulting or advisory roles in the design and deployment of large-scale data solutions in Azure environments.
Experience working directly with clients or stakeholders in a consulting capacity, translating business needs into technical specifications and actionable plans.
Demonstrated ability to contribute to project leadership, coordinate across client functional groups, and manage client relationships.
Microsoft Certified: Azure Data Engineer Associate preferrable
Microsoft Certified: Azure Solutions Architect Expert preferrable
Certified Data Vault 2.0 Practitioner (CDVP2) preferrable

Responsibilities:

Design and implement highly scalable, high performance data warehousing solutions in Azure Synapse.
Analyze and migrate existing data systems to Azure Cloud, optimizing data flow and collection to improve data accuracy and utility.
Contribute to data architecture design and modeling initiatives, ensuring alignment with business needs and compliance with data governance standards.
Consult with stakeholders to define data requirements, deliverables, and timelines, providing technical leadership and guidance throughout project lifecycles.
Implement data security and privacy policies in line with industry best practices and organizational standards.
Optimize data integration pipelines for performance and scalability.
Develop and maintain documentation regarding data architectures, procedures, and solutions.

Required profile