Data Engineer - Azure

1 month ago
Full-time
Mid Level
Software Development
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5K-10K
Founded 2008

Description

  • Build data pipelines to ingest data from databases, APIs, and streaming platforms.
  • Integrate and transform data to fit target data models and formats.
  • Design and implement data processing systems on the Azure platform.
  • Write efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.
  • Design and optimize data storage architectures such as data lakes, data warehouses, and distributed file systems.
  • Improve storage and retrieval performance through partitioning, compression, indexing, query tuning, and caching strategies.
  • Identify and resolve bottlenecks to enhance data retrieval speed and overall system efficiency.
  • Design data models that support efficient storage, retrieval, and analysis.
  • Collaborate with data scientists, analysts, and business stakeholders to gather requirements and deliver technical solutions.
  • Train and mentor junior data engineers through guidance and knowledge transfer.

Requirements

  • 4-6 years of professional experience in a similar role.
  • Very good communication skills with the ability to convey information clearly and specifically to co-workers and business stakeholders.
  • Working experience with agile methodologies and supporting tools such as JIRA and Azure DevOps.
  • Hands-on experience designing and optimizing data storage solutions, including data lakes, data warehouses, and distributed file systems.
  • Independence and responsibility in delivering solutions.
  • Ability to work under Agile and Scrum development methodologies.
  • Experience or familiarity with other cloud technologies is a plus.
  • Experience or familiarity with data warehouses, data governance, and business analysis is a plus.

Interested in this position?

Apply directly on the company website

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