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

18 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.
  • Extract and ingest structured and semi-structured data from REST APIs, relational databases, SaaS applications, flat files, and cloud storage.
  • Develop ingestion frameworks and dimensional data models for scalable enterprise data warehouses.
  • Collaborate with data architects, analysts, scientists, and business stakeholders to define requirements and align solutions with business goals.
  • Support integration between Snowflake and Azure-based cloud services.
  • Implement automated data quality checks, validation frameworks, and monitoring processes.
  • Monitor and optimize pipelines, SQL queries, and Snowflake workloads, and support production incidents and issue resolution.

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 from REST APIs, relational databases, cloud storage, and flat files.
  • Hands-on experience with Snowflake features such as virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
  • Advanced SQL skills with the ability to write complex queries and tune performance for large-scale workloads.
  • 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 work in a fast-paced environment with evolving priorities.
  • Preferred: SnowPro, Azure Data Engineer Associate, or equivalent cloud data platform certifications.
  • Preferred: Experience with big data technologies, machine learning, data science platforms, or advanced analytics.
  • Preferred: Experience with Power BI, Tableau, or similar BI tools.
  • Preferred: Experience with Agile delivery frameworks and DevOps practices.
  • Preferred: Core stack experience with Snowflake, Python/PySpark, SQL, ADLS, Azure Data Factory, Azure Key Vault, Git, Azure DevOps, CI/CD, and Infrastructure as Code (Terraform preferred).

Benefits

  • Competitive salary with bonuses and performance-based salary increases.
  • Generous paid time off.
  • 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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