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Data Engineer (Azure) - Remote, Latin America

1 hour, 21 minutes ago
Brazil, 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 1457

Description

  • Develop and maintain ETL processes using Python (PySpark) in Azure Synapse Analytics notebooks and pipelines.
  • Design and build data storage structures using data warehousing concepts such as star schemas, facts, and dimensions in an MPP SQL pool.
  • 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 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.
  • Identify and resolve performance bottlenecks and troubleshoot ETL jobs to meet SLAs.
  • Maintain documentation for ETL processes, data flows, and transformations.
  • Work with cross-functional teams to understand data requirements and support data-related initiatives.

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.
  • Experience extracting, transforming, and loading 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 and optimize performance using SparkSQL and MS SQL.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems such as Git or Azure DevOps.
  • Strong problem-solving, analytical, and attention-to-detail skills.
  • Excellent verbal and written communication skills and 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 is a plus.
  • Experience with Agile methodologies is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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