Data Engineering Specialist

hace 20 horas


Monterrey, Nuevo León, México BairesDev A tiempo completo

We are seeking an experienced Data Engineer to join our team at BairesDev. With over 15 years of experience in leading technology projects, we deliver cutting-edge solutions to top clients like Google and innovative startups in Silicon Valley.

Our diverse team of 4,000+ professionals, comprising the world's Top 1% of tech talent, work remotely on impactful roles worldwide. This position offers a unique opportunity for exceptional career growth and success.

The successful candidate will play a key role in designing and optimizing scalable data pipelines and infrastructure as a Data Engineer at BairesDev. They will work with cutting-edge technologies to solve complex data challenges and contribute to the organization's success.

Responsibilities include developing and maintaining data workflows, managing cloud-based data storage solutions, and ensuring data quality and governance. The Data Engineer will collaborate closely with data scientists and analysts to deliver reliable, structured data, monitor data workflows, and troubleshoot issues to maintain operational efficiency.

Key Responsibilities:

  • Develop scalable data pipelines using tools like Databricks, AWS Glue, and DBT for seamless data integration and transformation.
  • Optimize and manage data storage solutions to meet organizational needs.
  • Monitor and troubleshoot data workflows to ensure operational efficiency and reliability.
  • Implement data governance and security measures to ensure compliance, lineage tracking, and secure access across the organization.

Requirements:

  • At least 4 years of hands-on experience in data engineering roles, emphasizing data pipeline development, ETL processes, and data integration.
  • Experience in database management systems, including relational and SQL/NoSQL databases.
  • Knowledge of cloud computing concepts, with certifications or coursework in AWS, Azure, or GCP.
  • Strong foundation in Python programming languages.
  • Experience with Big Data Storage tools (e.g., Lakeview, Lakehouse, Redshift, Databricks).

Preferred Qualifications:

  • A strong grounding in statistics, probability, and applied mathematics relevant to data analysis and engineering.
  • Familiarity with machine learning concepts and tools, beneficial for integrating predictive analytics into data pipelines.

Benefits:

  • 100% remote work from anywhere in the world.
  • Excellent compensation in USD or local currency.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Estimated Salary: $120,000 - $180,000 per annum, depending on location and experience. We offer a competitive salary and benefits package to attract top talent.



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