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Azure Data Engineer - Remote, Latin America

1 hour, 55 minutes ago
Colombia, Latin America
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark Azure Git Machine Learning 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 1233

Description

  • Develop and maintain ETL data engineering processes using Python and 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 define data models and schemas that align with business requirements.
  • Implement data quality checks and validation processes to ensure accuracy and consistency.
  • Identify and resolve performance bottlenecks and monitor ETL jobs to maintain pipeline reliability and SLA adherence.
  • Maintain documentation for ETL processes, data flows, and transformations.
  • Work with cross-functional teams to understand 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 and 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 and Azure DevOps.
  • Strong problem-solving, analytical, and detail-oriented skills.
  • 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.

Benefits

  • Competitive salary and bonuses, including performance-based salary increases.
  • Generous paid time off policy.
  • Flexible working hours.
  • Remote work opportunity.
  • Continuing education, training, and conference support.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

Apply Now

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