Data Engineer, Azure - Remote, Latin America

1 hour, 25 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 data engineering processes using Python (PySpark) in Azure Synapse Analytics notebooks and pipelines.
  • Design and build data storage structures in an MPP SQL pool 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 initiatives, including 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 accurate and consistent data.
  • Identify and resolve performance bottlenecks and monitor ETL jobs to maintain reliability and SLA performance.
  • Maintain comprehensive documentation of ETL processes, data flows, and transformations.
  • Work closely with cross-functional teams to support data-related initiatives and ensure security and compliance with governance and privacy standards.

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.
  • Proficiency with Azure Synapse Analytics resources, 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 in a collaborative, fast-changing environment.
  • Preferred: certification 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 and Agile methodologies.

Benefits

  • Competitive salary with bonuses and performance-based salary increases.
  • Generous paid time off.
  • Flexible working hours.
  • Remote work.
  • 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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