Data Engineer, Azure - Remote, Latin America

2 hours, 26 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 storage structures in an MPP SQL pool using data warehousing concepts such as star schemas, facts, and dimensions.
  • Extract and transform data from REST APIs, SQL database tables, and CSV files.
  • Optimize Azure Synapse notebooks and pipelines for scalability, performance, and SLA compliance.
  • Implement data fabric concepts 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 data accuracy and consistency.
  • Monitor ETL jobs, diagnose issues, and resolve pipeline failures and bottlenecks.
  • Maintain documentation for ETL processes, data flows, and transformations.
  • Work with cross-functional teams on data-related initiatives while ensuring security, governance, and privacy compliance.

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) expertise.
  • Hands-on experience extracting, transforming, and loading data from REST APIs, SQL 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 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 and analytical skills with attention to detail.
  • Excellent verbal and written communication skills and ability to work 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.

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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