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Azure Data Engineer - Remote, Latin America

1 month ago
Belize, Latin America
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark Azure Git Machine Learning Power BI Python REST API SQL 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 1121

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 capabilities, 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 accuracy and consistency.
  • Identify and resolve performance bottlenecks and optimize ETL workflows to meet SLAs.
  • Monitor ETL jobs, troubleshoot issues, and implement fixes to improve reliability.
  • Maintain documentation for ETL processes, data flows, transformations, and related data initiatives.

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) for data extraction, transformation, and loading.
  • Experience extracting 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 performance in 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 collaboratively 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.

Interested in this position?

Apply directly on the company website

Apply Now

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