Data Engineer, Azure - Remote, Latin America

1 hour, 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 warehouse structures using star schemas, facts, and dimensions in an MPP SQL pool.
  • Extract and integrate data from REST APIs, SQL database tables, and CSV files.
  • Design, optimize, and scale Azure Synapse Analytics notebooks and pipelines for 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 meet business requirements.
  • Implement data quality checks and validation processes to ensure accurate and consistent data.
  • Monitor ETL jobs, troubleshoot issues, and resolve pipeline failures and bottlenecks.
  • Document ETL processes, data flows, and transformations thoroughly.
  • Work with cross-functional teams to gather data requirements and support data-related initiatives.
  • Ensure data security, governance, and privacy compliance.

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) skills.
  • 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 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 attention-to-detail skills.
  • Excellent verbal and written communication skills and the ability to work collaboratively in shifting priorities.
  • Certification related to data engineering or data science, such as Azure Data Engineer, is 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.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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