Data Engineer (Azure) - Remote, Latin America

1 hour, 21 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 using data warehousing concepts such as star schemas, facts, and dimensions in MPP SQL pools.
  • Extract data from REST APIs, SQL database tables, and CSV files.
  • Design and optimize Synapse notebooks and pipelines for scalability and performance.
  • Contribute to data fabric initiatives including data lakes, lakehouses, delta lakes, and data cataloging.
  • Collaborate with data architects to define data models and schemas aligned with business needs.
  • Implement data quality checks and validation processes to ensure data accuracy and consistency.
  • Monitor ETL jobs, troubleshoot issues, and resolve performance bottlenecks to meet SLAs.
  • Maintain clear documentation for data flows, transformations, and ETL processes.
  • Work with cross-functional teams to gather requirements and support data-related initiatives.
  • Ensure data security and compliance with governance and privacy standards.

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.
  • Hands-on experience 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 in a team with shifting priorities.
  • Certifications related to data engineering or data science, such as Azure Data Engineer, are 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?

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