Azure Data Engineer

🔥 1 minute ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Build data pipelines to ingest data from databases, APIs, and streaming platforms • Integrate and transform data for compatibility with target data models or formats • Design and optimize data storage architectures, including data lakes, data warehouses, and distributed file systems • Implement partitioning, compression, and indexing to optimize storage and retrieval • Identify and resolve bottlenecks, tune queries, and implement caching strategies • Design and implement data models for efficient storage, retrieval, and analysis • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and provide technical solutions • Communicate complex technical concepts clearly to non-technical stakeholders • 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 • Work independently and take responsibility for delivering solutions • Work under Agile and Scrum methodologies • Train and mentor junior data engineers

🎯 Requirements

• 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 agile methodologies and 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 designing and optimizing data storage, including data lakes, data warehouses, and distributed file systems • Databricks proficiency (4/5) • Apache Spark proficiency (4/5) • Data programming proficiency (4/5) • Software development for data engineering proficiency (4/5) • Azure Services proficiency (3/5) • Technical leadership proficiency (3/5) • Data processing architecture proficiency (3/5) • GenAI for data engineering proficiency (3/5) • CI/CD automation proficiency (3/5)

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