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

29 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 and reusable data ingestion, transformation, and loading processes.
  • Design, build, and optimize Snowflake-based cloud data solutions and warehouse objects.
  • Ingest structured and semi-structured data from REST APIs, relational databases, SaaS applications, flat files, and cloud storage.
  • Apply dimensional modeling techniques to build scalable enterprise data warehouses.
  • Collaborate with data architects and stakeholders to define logical and physical data models aligned with business goals.
  • Implement automated data quality controls, validation frameworks, and monitoring processes.
  • Support data governance, security, privacy, and regulatory compliance requirements.
  • Monitor and optimize pipelines, SQL queries, and Snowflake workloads for performance, cost efficiency, and SLA adherence.
  • Maintain documentation for pipelines, data models, transformations, 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 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 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, detail-oriented, and communication skills.
  • Knowledge of data integration best practices, data governance, and enterprise data management.
  • Preferred: SnowPro, Azure Data Engineer Associate, or similar cloud data platform certifications; experience with big data, machine learning, data science platforms, advanced analytics, Power BI, Tableau, Agile delivery, DevOps, Python/PySpark, ADLS, Azure Data Factory, Azure Key Vault, Terraform, REST APIs, and Power BI.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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