Data Engineer, Azure - Remote, Latin America

1 hour, 49 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, optimize, and scale Azure Synapse Analytics notebooks and pipelines for performance and reliability.
  • Apply data fabric concepts 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 data flows, transformations, and ETL processes.
  • Work with cross-functional teams on 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.
  • 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).
  • 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 in 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 attention-to-detail skills.
  • Excellent verbal and written communication skills and ability to work 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 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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