Senior Data Engineer

5 days ago

Lahore, Punjab, Pakistan Viral Square Full time 1,200,000 - 3,600,000 per year

Job Description

Viral Square is looking for an experienced and highly motivated Senior Data Engineer to join our growing data team. In this role, you will support company-wide data management, system integration, and analytics initiatives that drive business intelligence and decision-making. You'll collaborate closely across departments to design scalable data solutions, integrate multiple business systems, and ensure our data infrastructure remains robust, secure, and efficient. This is a full-time, onsite position reporting directly to the Data Engineering Manager.

How You Will Achieve It:

  • Design and build scalable and reliable data infrastructure and pipelines for ingesting, processing, and transforming data from diverse sources. Implement data validation and quality checks to ensure accuracy and consistency.
  • Monitor and maintain the performance of data solutions, including troubleshooting and optimizing queries, data pipelines, and storage systems.
  • Design and maintain data models, schemas, and database structures to support reporting and analytics.
  • Collaborate with product managers, stakeholders, analysts, and other data engineers to define requirements and data specifications.
  • Collaborate with network engineers to define networking infrastructure requirements to support the data infrastructure and pipelines.
  • Collaborate with the security team to ensure all deliverables include the necessary controls and compliance standards regarding data access, data security, data sensitivity and data confidentiality.
  • Perform preliminary assessment of new data sources. Assist project managers with estimating level of effort and refining the project scope to identify requirements and tasks.
  • Document technical designs, pipelines, data sets, and best practices.
  • Proactively stay informed of the latest advancements in data engineering, data architecture, and data privacy regulations.

What You Need to Achieve It:

  • BS degree in Computer Science or Engineering, Math, Statistics, Informatics, Information Systems, or another quantitative field required.
  • 4-5 years of experience in a data engineering role, with expertise in Microsoft Azure cloud: Azure Data Factory, Data Pipelines, Data Bricks, Azure Functions, Azure CLI, Integration Runtime, Azure Synapse Analytics, SQL Pools, SQL Database and data warehousing.
  • Experience with Python, pySpark, SQL, and ETL development.
  • Experience in agile methodologies, Azure Devops, Azure Repos, CI/CD pipelines for automating build, test, and deployment processes.
  • Experience with Microsoft Power Platform, Power Apps, Power Automate, Dataverse.
  • Experience with Microsoft Fabric preferred.
  • Familiar with Azure Networking, VNets, DNS, routing, load balancing, security.
  • Familiarity with Microsoft Dynamics 365 Finance and Operations, and Microsoft Dynamics CRM Sales data a plus.
  • Excellent problem-solving and communication skills, with the ability to work effectively in a remote, cross-functional team environment.

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