Azure Data Engineer

Tanisha Systems

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, Management Information Systems, or Computer Engineering required.
  • Experience with SQL and Azure Data Factory is essential.
  • Familiarity with big data technologies and ETL processes necessary.
  • Knowledge of data pipeline construction and optimization required.
  • Ability to collaborate effectively with cross-functional teams is crucial.

Responsibilities

  • Build and maintain ETL infrastructure for data extraction and transformation.
  • Implement scalable data pipelines that ensure reliability and cost-effectiveness.
  • Develop components for analytics dashboards and machine learning models.
  • Collaborate with stakeholders to translate business needs into technical solutions.
  • Support experimentation, segmentation, and reporting requirements for data-driven decisions.
  • Identify automation opportunities to enhance data quality and pipeline efficiency.
  • Provide ongoing support and troubleshooting for data engineering tasks.

Benefits

  • Opportunity to work with cutting-edge big data technologies.
  • Chance to influence marketing and strategy through data-driven insights.
  • Engagement in diverse projects to enable skill growth and career development.
Full Job Description
Azure Data Engineer

Date: Start Date: 10/01/2025

Job Description: Assist in building and maintaining the infrastructure needed for efficient extraction, transformation, and loading (ETL) of data from a variety of structured and unstructured sources using tools such as SQL, Azure Data Factory, and other big data technologies. Implement and support scalable data pipelines, ensuring they meet functional and non-functional business requirements such as reliability, latency, and cost-effectiveness. Build components that power analytics dashboards and machine learning models used by marketing and strategy teams to uncover insights on customer behavior, brand performance, and market trends. Work with data scientists, analysts, and marketers to understand business needs and translate them into technical solutions. Support data infrastructure requirements for experimentation, segmentation, and reporting use cases. Identify and help implement opportunities for automating manual processes, improving data quality, and enhancing pipeline efficiency and scalability. Create tools and reusable assets that empower analysts and data scientists to perform their work more efficiently. Provide day-to-day support on data engineering-related tasks and troubleshooting. Participate in other data or insights-related projects and duties as assigned by leadership to support evolving business needs.

Field of study: Bachelor's Degree required in Computer Science or Management Information Systems or Computer Engineering.
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