Principal Data Engineer-PySpark

2 weeks ago


Islamabad, Islamabad, Pakistan Confiz Full time

1 month ago Be among the first 25 applicants

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This role requires a professional with a deep background in data engineering and 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 accomplishment of delivering scalable and efficient data solutions to meet complex business requirements.

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.

Qualifications
  • 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 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

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.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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