Azure Data Engineer Lead

5 days ago

Plano, Texas, United States Nuvem, Inc Full time
Job Title: Sr. Azure Data Engineer

Job Type: Full-time

Description:

As a Sr. Azure Data Engineer at Nuvem, Inc, you will play a key role in the continuous delivery of cloud-based ETL/ELT data processes and implementations. You will be responsible for managing hands-on, highly visible, and complex projects from start to finish, utilizing your expertise in developing realistic project plans to meet delivery objectives.

Key Responsibilities:

  • Implement and build data pipelines for a data warehouse using Azure Data Engineering Stack - Adeptia (Third Party ETL/ELT tool), Azure Data Factory, Azure Synapse, and ADLS.
  • Combine technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our business offerings.
  • Lead, design, develop, and deliver large-scale data systems, data processing, and data transformation projects that deliver business value for clients.
  • Conduct technical feasibility assessments and provide project estimates for the design and development of the solution.
  • Provide technical inputs to agile processes, such as user story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements.
  • Automate data platform operations and manage the post-production system and processes.
  • Mentor, help, and grow junior team members.
  • Test, plan, creation, and test programming using automated testing frameworks, data validation, and quality frameworks, and data lineage frameworks.

Requirements:

  • Bachelor's or Master's degree in Math, Statistics, Economics, Computer Science, or any other quantitative field.
  • 5+ years of experience with data integration, and database technologies, including NoSQL, SQL Server, Azure SQL DB, Postgres, Cosmos DB's, etc.
  • 5+ years of experience with Azure Cloud PaaS/SaaS solutions and managed services serverless technologies, including Azure Data Factory, Synapse Analytics, and ADLS.
  • 5+ years of experience in a role encompassing industry standard ETL development techniques and implementation of end-to-end data pipelines.
  • Experience with data analysis and profiling of source data while developing or.
  • Experience in data warehousing methodologies and dimensional data modeling.
  • Experience working with Azure DevOps code repositories and continuous integration and continuous delivery.
  • Hands-on experience with Azure Data Engineering Stack - ADF, Synapse, SQL, Data Lakehouse, Python Notebooks, Microsoft Fabrics.
  • Hands-on knowledge of data validation, cleansing, transformation, consolidation, de-duplication, aggregation, de-aggregation, and enrichment.

Preferred:

  • Coding experience: Python, C#, PowerShell for Data analysis purpose.
  • Experience with reporting data visualization tools such as Power BI or Tableau.
  • Exposure to MDM and metadata management including data catalogs using Microsoft Purview.

Salary Description: $115,000.00 - $150,000.00

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