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Data Engineer (Azure) - Remote, Latin America

1 hour, 10 minutes ago
El Salvador, 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 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 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 initiatives 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 data accuracy and consistency.
  • Monitor ETL jobs, troubleshoot issues, and resolve performance bottlenecks to meet SLAs.
  • Maintain documentation for ETL processes, data flows, and data transformations.
  • Work with cross-functional teams to gather data 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.
  • 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).
  • 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 query performance.
  • Experience working with both SparkSQL and MS SQL.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems such as Git, including Azure DevOps.
  • Strong problem-solving and analytical skills with attention to detail.
  • Excellent verbal and written communication skills and the 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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