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Data Engineer (Azure) - Remote, Latin America

1 hour, 21 minutes ago
Peru, 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 1457

Description

  • Develop and maintain ETL processes using Python (PySpark) in Azure Synapse Analytics notebooks and pipelines.
  • Design and build data warehouse structures using star schemas, facts, dimensions, and MPP SQL pools.
  • Extract and integrate data from REST APIs, SQL database tables, and CSV files.
  • Design, optimize, and scale Azure Synapse notebooks and pipelines for performance.
  • Apply data fabric concepts 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 ensure accuracy and consistency.
  • Monitor ETL jobs, troubleshoot issues, and resolve performance bottlenecks to meet SLAs.
  • Maintain documentation for data flows, transformations, and ETL processes.
  • Work with cross-functional stakeholders and ensure data security, governance, and privacy compliance.

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 experience in ETL data engineering using Python (PySpark).
  • Experience extracting, transforming, and loading data from REST APIs, SQL 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.
  • 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 communication skills with the ability to work in a collaborative, fast-paced environment.
  • 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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