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Azure Databricks Data Engineer

2 hours ago
Argentina
Full-time
Mid Level
Data Engineer
Data Science and Analytics
Apache Spark Azure Hadoop PowerShell Python SQL
Apply Now
OZ Digital,

OZ Digital,

OZ Digital Consulting Unlock growth opportunities with OZ Digital Consulting. Our expert solutions drive innovation, transformation, and success for your business. OZ is a consulting and technology solutions leader focused on increasing customer engage...

Internet Software & Services
251-1K
Founded 1997
View All Jobs 2

Description

  • Design and implement end-to-end data solutions on the Azure platform, including ingestion, processing, storage, and visualization.
  • Develop and maintain data pipelines using Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and related tools.
  • Collaborate with data architects and data scientists to define data requirements and design scalable data models and schemas.
  • Implement ETL and other data integration solutions to move data from diverse sources into Azure data platforms.
  • Monitor and optimize data pipelines and storage systems to ensure reliability, availability, and performance.
  • Troubleshoot and resolve data-related issues, including data quality, performance, and security concerns.
  • Work with cross-functional teams to gather business requirements and translate them into technical solutions.
  • Perform data profiling, validation, and cleansing to improve data accuracy and consistency.
  • Document technical specifications, data flows, and processes for reference and knowledge sharing.
  • Stay current on Azure data technologies and recommend new tools and techniques where appropriate.

Requirements

  • 3+ years of proven work experience with Databricks.
  • 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 Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics.
  • Proficiency in Python, SQL, and PowerShell for data manipulation and automation.
  • Experience with data modeling and designing efficient data structures for analytics and reporting.
  • Solid understanding of ETL processes and data transformation techniques.
  • Familiarity with big data technologies such as Apache Spark and Hadoop is a plus.
  • Strong problem-solving skills with the ability to debug and resolve complex data issues.
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • Azure Data Engineer Associate or Azure Solutions Architect Expert certification is highly desirable.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.

Interested in this position?

Apply directly on the company website

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