Data Engineer, Azure - Remote, Latin America

1 hour, 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 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 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 maintain accuracy and consistency.
  • Monitor ETL jobs, troubleshoot issues, and resolve performance bottlenecks to meet SLAs.
  • Maintain documentation of ETL processes, data flows, and data transformations.
  • Work with cross-functional teams on data requirements and support data-related initiatives while ensuring security and compliance.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Certifications related to data engineering or data science, such as Azure Data Engineer, are a plus.
  • Proven experience in ETL data engineering using Python (PySpark) to extract, transform, and load 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, 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 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 and 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.
  • Continuing education, training, and conferences.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

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