Data Engineer (Azure) - Remote, Latin America

2 hours, 42 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 storage structures in a massively parallel processing SQL pool using data warehousing concepts.
  • Extract and integrate data from REST APIs, SQL database tables, and CSV files.
  • Design and optimize Azure Synapse notebooks and pipelines for scalability and performance.
  • Contribute to data fabric initiatives such as data lakes, lakehouses, delta lakes, and data cataloging.
  • Collaborate with data architects to define data models and schemas aligned with business requirements.
  • Implement data quality checks and validation processes to ensure accuracy and consistency.
  • Identify and resolve performance bottlenecks and troubleshoot ETL job issues to meet SLAs.
  • Maintain documentation for ETL processes, data flows, and transformations.
  • Work with cross-functional teams on data requirements, support data-related initiatives, and ensure security and compliance standards are met.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Proven experience in ETL data engineering using Python (PySpark) for extraction, transformation, and loading.
  • Experience working with Azure Synapse Analytics 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 keen attention to detail.
  • Excellent verbal and written communication skills and the ability to work collaboratively in a team with shifting priorities.
  • Familiarity with big data technologies, machine learning, and data analysis is preferred.
  • Experience with data visualization tools such as Power BI or Tableau and Agile methodologies is a plus.
  • Certifications related to data engineering or data science, such as Azure Data Engineer, are a plus.

Interested in this position?

Apply directly on the company website

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