Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América

16 minutes ago
Full-time
Senior
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

  • Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, Snowflake, and cloud-native technologies.
  • Build reliable, efficient, and reusable data ingestion, transformation, and loading processes.
  • Design, build, and optimize cloud data solutions using Snowflake architecture and objects.
  • Implement and manage Snowflake databases, schemas, tables, views, streams, tasks, stages, and stored procedures.
  • Use virtual warehouses, secure data sharing, time travel, and automated scaling to balance performance and cost.
  • Apply dimensional modeling techniques to build scalable enterprise data warehouses.
  • Extract and ingest structured and semi-structured data from REST APIs, relational databases, SaaS apps, flat files, and cloud storage.
  • Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals.
  • Implement automated data quality controls, validation frameworks, monitoring, and governance practices.
  • Monitor and optimize Snowflake workloads, ETL/ELT processes, SQL queries, and production pipelines; resolve incidents and maintain documentation.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent professional experience.
  • Proven experience developing end-to-end data pipelines across REST APIs, relational databases, cloud storage, and flat files.
  • Hands-on Snowflake experience with virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
  • Advanced SQL skills, including complex query writing, performance tuning, and large-scale workload optimization.
  • Experience with dimensional modeling, including star schemas, fact tables, and dimension tables.
  • Familiarity with cloud-based data ecosystems, particularly Microsoft Azure.
  • Experience managing source code and CI/CD pipelines using Git and Azure DevOps, or similar tools.
  • Strong analytical, problem-solving, and detail-oriented mindset.
  • Excellent verbal and written communication skills and ability to collaborate in a fast-paced environment.
  • Preferred: SnowPro, Azure Data Engineer Associate, or similar cloud data platform certifications.
  • Preferred: Experience with big data technologies, machine learning, data science platforms, or advanced analytics.
  • Preferred: Experience with BI tools such as Power BI or Tableau.
  • Preferred: Experience with Agile delivery frameworks, DevOps practices, and Infrastructure as Code, with Terraform preferred.
  • Preferred tech stack includes Snowflake, Python/PySpark, SQL, ADLS, Azure Data Factory, Azure Key Vault, Git, Azure DevOps, CI/CD, REST APIs, and Power BI.

Benefits

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

Interested in this position?

Apply directly on the company website

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