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Data Engineer, Azure - Remote, Latin America

6 days, 10 hours ago
Mexico, Latin America
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark Azure Git Machine Learning Power BI Python REST API SQL SQL Server Tableau
Apply Now
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
View All Jobs 955

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 star schemas, facts, and dimensions.
  • Extract data from REST APIs, SQL database tables, and CSV files.
  • Design and optimize Azure Synapse 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 ensure accuracy and consistency.
  • Identify and resolve performance bottlenecks and optimize ETL jobs to meet SLAs.
  • Monitor ETL jobs, diagnose issues, and implement fixes to ensure pipeline reliability.
  • Maintain documentation for ETL processes, data flows, and transformations while supporting cross-functional teams.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Proven 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, including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Ability to write complex SQL queries and optimize 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 and Azure DevOps.
  • Strong problem-solving, analytical, and detail-oriented skills with excellent communication and collaboration abilities.
  • 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 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

Apply Now

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