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

5 hours, 9 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 Snowflake-based cloud data solutions and warehouse architectures.
  • Implement and manage Snowflake objects including 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.
  • Apply dimensional modeling techniques such as star schemas, fact tables, and dimension tables.
  • Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals.
  • Implement automated data quality controls, validation frameworks, and monitoring processes.
  • Monitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet SLAs and improve cost efficiency.
  • Support production environments, diagnose pipeline issues, and maintain documentation for data pipelines, models, and operational processes.

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 that extract, transform, and load data from multiple sources.
  • Hands-on experience with Snowflake features including virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
  • Advanced SQL development skills, including writing complex queries and tuning large-scale workloads.
  • Experience with dimensional modeling techniques such as star schemas, fact tables, and dimension tables.
  • Familiarity with Microsoft Azure and cloud-based data ecosystems.
  • 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.
  • Knowledge of data integration best practices, data governance, and enterprise data management.
  • 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 or Tableau.
  • Preferred: Experience with Agile delivery frameworks and DevOps practices.
  • Preferred tech stack includes Snowflake, Python/PySpark, SQL, Azure Data Lake Storage, 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.
  • 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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