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

1 hour, 39 minutes ago
Full-time
Senior
DevOps and Infrastructure
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 on Snowflake, including databases, schemas, tables, views, streams, tasks, stages, and stored procedures.
  • Implement dimensional models such as star schemas, fact tables, and dimension tables for enterprise data warehouses.
  • Extract and ingest structured and semi-structured data from REST APIs, relational databases, SaaS applications, flat files, and cloud storage.
  • Develop robust ingestion frameworks and support integration with Azure cloud services.
  • Implement automated data quality controls, validation frameworks, monitoring processes, and governance practices.
  • Monitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet SLAs and improve cost efficiency.
  • Support production environments, diagnose pipeline performance issues, and resolve incidents.
  • Collaborate with data architects, analysts, data scientists, and business stakeholders to gather requirements and provide technical expertise.

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 experience with Snowflake features such as virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
  • Advanced SQL skills, including complex query development, performance tuning, and large-scale workload optimization.
  • Experience with dimensional modeling techniques, 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 the ability to collaborate in a fast-paced environment.
  • 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 BI tools such as Power BI, Tableau, or similar platforms.
  • Preferred: Knowledge of Agile delivery frameworks and DevOps practices.
  • Preferred tech stack includes Snowflake, Python/PySpark, SQL, ADLS, Azure Data Factory, Azure Key Vault, Git, Azure DevOps, CI/CD, Terraform, 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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