Azure Data Engineer - Remote, Latin America

1 hour, 32 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 notebooks and pipelines for scalability and performance.
  • Contribute to data fabric initiatives, including data lakes, lakehouses, delta lakes, and data cataloging.
  • Collaborate with data architects to create data models and schemas that meet business requirements.
  • Implement data quality checks and validation processes to ensure accurate and consistent data.
  • Identify and resolve performance bottlenecks and monitor ETL jobs to improve reliability.
  • Maintain documentation for ETL processes, data flows, and transformations.
  • Work with cross-functional teams to support data-related initiatives and ensure security and compliance.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Certification related to data engineering or data science, such as Azure Data Engineer, is a plus.
  • Proven experience in ETL data engineering using Python (PySpark) for data extraction, transformation, and loading.
  • Experience working with Azure Synapse Analytics resources, including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Ability to write complex SQL queries, optimize query performance, and work with 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 strong attention to detail.
  • Excellent verbal and written communication skills and the ability to work collaboratively in a team environment 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 is a plus.
  • Experience working in Agile methodologies is a plus.

Benefits

  • Competitive salary and bonuses, including performance-based salary increases.
  • Generous paid time off policy.
  • Flexible working hours.
  • Remote work opportunity.
  • Continuing education, training, and conference support.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

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