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Azure Data Engineer - Remote, Latin America

2 hours, 29 minutes ago
Mexico, Latin America
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark Azure Git 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 1221

Description

  • Develop and maintain ETL processes in Python (PySpark) using Azure Synapse Analytics notebooks and pipelines.
  • Design and build data warehouse structures using star schemas, facts, and dimensions in an MPP SQL pool.
  • 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 meet SLA targets for ETL jobs.
  • Monitor ETL jobs, troubleshoot issues, and maintain pipeline reliability.
  • Maintain documentation for data flows, transformations, and ETL processes while supporting cross-functional data initiatives and governance requirements.

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) skills for extracting, transforming, and loading data.
  • 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 using version control systems such as Git and Azure DevOps.
  • Strong problem-solving, analytical, and attention-to-detail skills.
  • Excellent verbal and written communication skills and the 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 and Agile methodologies is a plus.

Interested in this position?

Apply directly on the company website

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