Concesionaria Vuela Compañía de Aviación S.A.P.I
Lingaro
Data Engineer- Azure
Tasks
- Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.
- Integrating and transforming data to ensure its compatibility with the target data model or format
- Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems.
- Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval.
- Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
- Designing and implementing data models that support efficient data storage, retrieval, and analysis.
- Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
- Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
- Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.
- Independence and responsibility for delivering a solution
- Ability to work under Agile and Scrum development methodologies
- Train and mentor junior data engineers, providing guidance and knowledge transfer
- Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.
- Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.
- Integrating and transforming data to ensure its compatibility with the target data model or format.
- Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
- Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
What We're Looking For
- Databricks 4/5.
- Apache Spark 4/5.
- Programming – Data 4/5.
- Software Development for DE – 4/5.
- Azure Services – 3/5.
- Technical Leadership – 3/5.
- Architecture – Data Processing – 3/5.
- GenAI for Data Engineering – 3/5.
- CI/CD Automation 3/5.
Other
- 4-6 years of professional experience in a similar role.
- Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.
- Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps).
- Independence and responsibility in delivering solutions.
- Ability to work under agile methodologies.
- Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).
- Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.
\n \n $1 - $2 a month \n
