Data Engineer (Azure) - Remote, Latin America

3 hours, 10 minutes ago
Full-time
Mid Level
Software Development
Bluelight Consulting

Bluelight Consulting

Bluelight Consulting is a leading Nearshore Software Development company that provides access to highly skilled Nearshore Tech Talent in the US timezone. They offer services such as Nearshore Staffing, Cloud consulting, Cloud migration strategies, and ...

Internet Software & Services
11-50
Founded 2015

Description

  • Develop and maintain ETL processes using Python (PySpark) in Azure Synapse Analytics notebooks and pipelines.
  • Design and build data warehouse structures using star schemas, facts, and dimensions in an MPP SQL pool.
  • Extract and integrate data from REST APIs, SQL database tables, and CSV files.
  • Design and optimize Azure Synapse Analytics notebooks and pipelines for scalability and performance.
  • Contribute to data lake, lakehouse, delta lake, and data cataloging initiatives as part of broader data fabric efforts.
  • Collaborate with data architects and other stakeholders to create data models and schemas aligned with business needs.
  • Implement data quality checks and validation processes to maintain accuracy and consistency.
  • Monitor ETL jobs, troubleshoot issues, and resolve performance bottlenecks to meet SLAs.
  • Maintain clear documentation for ETL processes, data flows, and transformations.
  • Work with cross-functional teams to support data-related initiatives while ensuring security, governance, and privacy compliance.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Experience in ETL data engineering with strong hands-on use of Python (PySpark).
  • Experience extracting, transforming, and loading data from REST APIs, SQL tables, and CSV files.
  • Proficiency with Azure Synapse Analytics resources, including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Ability to write complex SQL queries and optimize performance using SparkSQL and MS SQL.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems such as Git and Azure DevOps.
  • Strong problem-solving and analytical skills with excellent attention to detail.
  • Excellent verbal and written communication skills and ability to work in a team with shifting priorities.
  • Preferred: certifications related to data engineering or data science, such as Azure Data Engineer.
  • Preferred: familiarity with big data technologies, machine learning, and data analysis.
  • Preferred: experience with data visualization tools such as Power BI or Tableau and Agile methodologies.

Interested in this position?

Apply directly on the company website

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