Azure Data Engineer - Remote, Latin America

2 hours, 9 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 warehousing structures, including star schemas, facts, and dimensions, in an MPP SQL pool.
  • Extract and integrate data from REST APIs, SQL database tables, and CSV files.
  • Optimize Azure Synapse notebooks and pipelines for scalability, performance, and SLA compliance.
  • Contribute to data lake, lakehouse, delta lake, and data cataloging initiatives within Data Fabric concepts.
  • Collaborate with data architects and stakeholders to create data models and schemas aligned with business needs.
  • Implement data quality checks and validation processes to ensure accurate and consistent data.
  • Monitor ETL jobs, troubleshoot failures, and resolve performance bottlenecks.
  • Maintain documentation for data flows, transformations, and ETL processes.
  • Work with cross-functional teams to support data-related initiatives while ensuring security and compliance standards are met.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Certification related to data engineering or data science, such as Azure Data Engineer, is a plus.
  • Proven ETL data engineering experience with strong expertise in Python (PySpark).
  • 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 using 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 excellent 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 is a plus.
  • Experience with Agile methodologies is a plus.

Interested in this position?

Apply directly on the company website

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