Azure Data Engineer

Lingaro
Mexico
RemoteCareer-pivot friendly

Who this role is best for

Data engineers with experience in building scalable pipelines and optimizing storage architectures will find this Azure-focused role in Mexico.

Best fit for

  • Candidates with 4-6 years of experience in data engineering and a strong background in cloud and data processing technologies.
    — “4-6 years of professional experience in a similar role.”
  • Individuals who have hands-on experience with Databricks, Apache Spark, and data modeling techniques.
    — “Databricks 4/5. Apache Spark 4/5. Programming – Data 4/5.”
  • Professionals who can independently deliver solutions and mentor junior engineers.
    — “Independence and responsibility for delivering a solution. Train and mentor junior data engineers.”

Things to consider

  • The role requires strong communication skills to explain technical concepts to non-technical stakeholders.
    — “Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.”

How to stand out

  • Highlight your experience in designing and optimizing data lakes and warehouses in your resume and interviews.
    — “Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).”
  • Demonstrate your ability to work in Agile and Scrum environments with specific examples from past projects.
    — “Ability to work under Agile and Scrum development methodologies.”
  • Emphasize your track record in mentoring junior engineers and delivering end-to-end solutions.
    — “Train and mentor junior data engineers, providing guidance and knowledge transfer.”
  • Showcase your experience in integrating data from diverse sources like APIs and databases.
    — “Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.”
  • Demonstrate your ability to implement caching and query tuning techniques for performance optimization.
    — “Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designing and implementing efficient data pipelines
  • optimizing data storage and retrieval
  • collaborating with cross-functional teams
Typical background
4-6 years of professional experience in data engineering

Skills & requirements

Required

Data PipelinesData StorageData TransformationData ModelingData Retrieval OptimizationData ProcessingAzure PlatformAgile Methodologies

Preferred

Cloud TechnologiesData GovernanceBusiness Analysis

Stack & domain

AzureDatabricksApache SparkData PipelinesData Storage ArchitecturesData LakesData WarehousesDistributed File SystemsData RetrievalData ModelsData ScientistsAnalystsBusiness StakeholdersAgileScrumCi/cd AutomationCloud TechnologiesData GovernanceBusiness AnalysisCommunicationCollaborationMentorshipData Engineering

About the role

Original posting from Lingaro via Lever

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).

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).

Source: Lingaro careers (Lever)

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