Full Time

Senior Azure Cloud Data Engineer

Ascendion
$120,000 - $160,000* / year (about $58–$77 an hour)

Job Description

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Written by AI from the job title and company, not by Ascendion, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Azure Cloud Data Engineer at Ascendion will play a critical role in designing and implementing robust data solutions within the Azure ecosystem. The ideal candidate will leverage their expertise in cloud architecture, big data technologies, and data integration methodologies to support data-driven decision-making across the organization. This position requires a proactive and analytical approach to tackle complex data problems while collaborating with cross-functional teams to optimize data pipelines and ensure data quality across all layers of the data architecture.



Job Responsibilities

  • Design, develop, and maintain scalable data pipelines and architectures in Microsoft Azure.
  • Implement data ingestion, transformation, and storage solutions using Azure Data Factory, Azure Databricks, and Azure SQL Database.
  • Collaborate with data scientists and analysts to understand data requirements and deliver appropriate data solutions.
  • Ensure data quality and integrity through best practices in data governance and processing workflows.
  • Optimize existing data processes for performance and scalability while monitoring and troubleshooting issues as they arise.
  • Document processes, data flows, and architecture designs to facilitate knowledge sharing and compliance.
  • Stay current with industry trends and emerging technologies in cloud data engineering and propose innovative solutions.


Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • Minimum of 5 years of experience in data engineering or a related field, with a strong emphasis on Azure services.
  • Proficient in programming languages such as Python, SQL, and Java or Scala for data processing tasks.
  • Extensive knowledge of Azure technologies including Azure Data Lake, Azure Synapse Analytics, and Azure Streaming Analytics.
  • Experience with data modeling, ETL processes, and handling structured and unstructured data.
  • Strong analytical and problem-solving skills with the ability to work under minimal supervision.


Technologies & Tools

The Senior Azure Cloud Data Engineer will utilize a range of technologies and tools, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics. Familiarity with data orchestration tools and programming languages such as Python and SQL will also be essential in performing data integration and transformation tasks effectively.



Ideal Candidates

The ideal candidates will possess strong technical acumen coupled with excellent communication skills. They should demonstrate a natural curiosity and drive for continuous learning and adaptation in a fast-paced environment. Being a team player with a collaborative mindset, they will bring a solutions-oriented approach to challenges while exhibiting leadership qualities to mentor junior team members. A focus on quality and attention to detail will further ensure successful project outcomes and enhance the data management initiatives within Ascendion.

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