Data Engineer- Azure
Primary stack
Nice to have's
Job description
About the Position
Data Engineer- Azure
Lingaro is seeking a skilled Data Engineer- Azure to join our team in Mexico, focusing on building and optimizing data pipelines and storage architectures.
Responsibilities
- 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.
Requirements
- 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
- 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).
- Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.
- 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).
We Offer
- Competitive salary: $1 - $2 a month
- Remote work options
About the Company
Lingaro is committed to using artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. More information about how your data is processed can be found here - Candidate Privacy Notice, Lingaro.
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Consumer Goods,Healthcare and Biotech
About the Company Lingaro is a global end-to-end data and AI partner to leading brands and enterprises. The company specializes in transforming data into opportunities that drive business outcomes. With deep technical expertise and business knowledge, Lingaro bridges technology, commercial insight, and cross-industry expertise. The company leverages partnerships with leading hyperscalers to deliver data and AI solutions for real business problems. Products, Services & Tech Stack Core Solutions Marketing & Commercial Analytics Intelligent & Resilient Supply Chain Sustainability & Compliance AI & GenAI Data Consulting Technology Consulting & Advisory Design Adoption Technologies & Frameworks No specific technologies or frameworks mentioned in the text. Project Scope & Target Clients Client Base Global CPG brands Healthcare and Biotech Consumer Goods Engineering Scale 20+ Tech partnerships 1,800+ Employees worldwide 18+ Years in data & analytics
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