
Data Engineer
2 days ago
This role requires a data professional with expertise in designing and implementing cloud-based data warehousing solutions using Azure Synapse. The ideal candidate will be a strategic thinker with a proven record of delivering scalable and efficient data solutions to meet complex business requirements.
Key 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.
- Bachelor's or master's degree in computer science, Engineering, Information Technology, or a related field.
- 7+ years of experience in data engineering with a 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 used in data engineering.
- Familiar with Azure IaC (Infrastructure as Code) and CI/CD automation using ARM, Bicep, or Terraform.
- Deep knowledge of ELT and ETL processes and experience with Azure Data Factory.
- Strong understanding of data modeling, data warehousing, and data lakes.
- Proven experience in consulting or advisory roles in large-scale data solutions in Azure environments.
- Experience working directly with clients or stakeholders, translating business needs into technical specifications.
- Demonstrated project leadership, coordination, and client relationship management skills.
- Microsoft Certified: Azure Data Engineer Associate (preferable).
- Microsoft Certified: Azure Solutions Architect Expert (preferable).
- Certified Data Vault 2.0 Practitioner (CDVP2) (preferable).
This is an exciting opportunity to join a team of professionals working on innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
We foster a vibrant culture of learning through collaboration and making the workplace fun. People who work with us engage with cutting-edge technologies while contributing to the company's and their own success.
To learn more about this role, visit our website at https://www.linkedin.com/company/confiz-pakistan/.
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