OZ

Azure Databricks Data Engineer

OZ

full-time

Posted on:

Location Type: Remote

Location: Argentina

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Tech Stack

ApacheAzureCloudETLHadoopPythonSparkSQL

About the role

  • Design and implement end-to-end data solutions on the Azure platform, including data ingestion, data processing, data storage, and data visualization.
  • Develop and maintain data pipelines using Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and other relevant tools and technologies.
  • Collaborate with data architects and data scientists to understand data requirements and design scalable and optimized data models and schemas.
  • Implement data integration solutions to extract, transform, and load (ETL) data from various sources into Azure data platforms.
  • Ensure the reliability, availability, and performance of data solutions by monitoring and optimizing data pipelines and storage systems.
  • Troubleshoot and resolve data-related issues, including data quality, performance, and security concerns.
  • Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
  • Stay updated with the latest trends and advancements in Azure data technologies and provide recommendations for adopting new tools and techniques.
  • Perform data profiling, data validation, and data cleansing activities to ensure data accuracy and consistency.
  • Document technical specifications, data flows, and processes for reference and knowledge sharing.

Requirements

  • 2+ years of proven work experience with Azure data integration services, Data Modeling, and Data Architecture.
  • Proven experience as a Data Engineer with a focus on Azure cloud technologies.
  • Strong knowledge of Azure data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics.
  • Proficient in programming languages such as Python, SQL, and PowerShell for data manipulation and automation.
  • Experience with data modeling and designing efficient data structures for analytics and reporting purposes.
  • Solid understanding of data integration techniques, including ETL processes and data transformation.
  • Familiarity with big data technologies like Apache Spark and Hadoop is a plus.
  • Strong problem-solving skills and the ability to debug and resolve complex data issues.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data integrationdata modelingdata architectureETLdata manipulationdata processingdata storagedata visualizationdata profilingdata cleansing
Soft Skills
problem-solvingcommunicationcollaboration