Senior Cloud Data Engineer

2 weeks ago

Multan, Punjab, Pakistan beBeeCloudEngineering Full time
Cloud Data Engineering Leader

We seek a strategic cloud data engineering leader to design and implement highly scalable, high-performance data warehousing solutions. This role requires expertise in designing and implementing cloud-based data warehousing solutions using Azure Synapse.

The ideal candidate will be a professional with deep knowledge of data modeling, data warehousing, and data lakes. Experience in consulting or advisory roles in large-scale data solutions in Azure environments is also required.

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

We have an amazing team of 700+ individuals working on highly 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.

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