Data Engineer (Azure) - Remote, Latin America

2 hours, 42 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, transform, and load 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 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 pipeline reliability.
  • Maintain documentation for data engineering processes, data flows, and transformations.
  • Work with cross-functional teams to understand data needs, support data 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.
  • Proven experience in ETL data engineering using Python (PySpark) for data extraction, transformation, and loading.
  • Experience extracting data from REST APIs, SQL database tables, and CSV files.
  • Proficiency with Azure Synapse Analytics components, including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Strong SQL skills, including writing complex queries and optimizing query performance.
  • Experience working with both SparkSQL and MS SQL.
  • Knowledge of data integration best practices and tools.
  • Experience using 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 collaboratively 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.

Interested in this position?

Apply directly on the company website

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