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Data Engineer, Azure - Remote, Latin America

1 hour, 34 minutes ago
Brazil
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark Azure Git Machine Learning Power BI Python REST API SQL SQL Server Tableau
Apply Now
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
View All Jobs 754

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 transform data from REST APIs, SQL database tables, and CSV files.
  • Optimize Azure Synapse notebooks and pipelines for scalability, performance, and SLA delivery.
  • Implement data quality checks, validation processes, and reliable monitoring for ETL jobs.
  • Diagnose pipeline issues, resolve bottlenecks, and troubleshoot failures.
  • Collaborate with data architects and cross-functional teams to define data models and business-aligned schemas.
  • Maintain documentation for data engineering processes, data flows, and transformations.
  • Support data-related initiatives while ensuring security, governance, and privacy compliance.
  • Contribute to broader data fabric concepts such as data lakes, lakehouses, delta lakes, and data cataloging.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Proven experience in ETL data engineering with strong Python (PySpark) skills.
  • Experience extracting, transforming, and loading data from REST APIs, SQL database tables, and CSV files.
  • Proficiency with Azure Synapse Analytics, 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, including Azure DevOps.
  • Strong problem-solving, analytical, and attention-to-detail skills.
  • Excellent verbal and written communication skills and ability to work in a team with shifting priorities.
  • Certification related to data engineering or data science, such as Azure Data Engineer, is a plus.
  • 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 with 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.
  • Continuing education, training, and conference opportunities.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

Apply Now

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