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Azure Data Engineer - Remote, Latin America

1 hour, 47 minutes ago
Costa Rica, Latin America
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark Azure Git Power BI Python REST API SQL 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 1233

Description

  • Develop and maintain ETL pipelines using Python (PySpark) in Azure Synapse Analytics Notebooks and Pipelines.
  • Design and build data warehousing 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.
  • 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 define data models and schemas aligned to business requirements.
  • Implement data quality checks and validation processes to ensure data accuracy and consistency.
  • Identify and resolve performance bottlenecks and monitor ETL jobs to maintain reliability and SLA adherence.
  • Maintain documentation for data flows, transformations, and ETL processes.
  • Work with cross-functional teams to gather requirements and support data-related initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • 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.
  • Hands-on experience with Azure Synapse Analytics, including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Ability to write complex SQL queries and optimize query 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, analytical, and detail-oriented skills.
  • Excellent verbal and written communication skills and the ability to work collaboratively 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.
  • Preferred: experience with Agile methodologies.

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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