Data Engineer, Azure - Remote, Latin America

1 hour, 37 minutes ago
Full-time
Senior
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 data engineering processes using Python (PySpark) in Azure Synapse Analytics Notebooks and Pipelines.
  • Design and build data storage structures in MPP SQL pools using data warehousing concepts such as star schemas, facts, and dimensions.
  • 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 fabric capabilities such as data lakes, lakehouses, delta lakes, and data cataloging.
  • Collaborate with data architects to create 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 jobs to meet SLAs.
  • Maintain documentation for ETL processes, data flows, and data transformations.
  • Work closely with cross-functional teams to understand data requirements and support data-related initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Experience with ETL data engineering using Python (PySpark) for extraction, transformation, and loading.
  • Proficiency 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 attention to detail.
  • Excellent verbal and written communication skills and the ability to work collaboratively in a team environment.
  • 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 working 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 arrangement.
  • Continuing education, training, and conference opportunities.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

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