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, efficient, and reusable data ingestion, transformation, and loading processes.
  • Design, build, and optimize Snowflake-based cloud data solutions and warehouse objects.
  • Extract and 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 create 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 Snowflake workloads, ETL/ELT processes, and SQL queries to meet SLAs and improve cost efficiency.
  • Maintain comprehensive documentation for pipelines, transformations, data models, and operational processes.
  • Partner with cross-functional teams to understand 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 from REST APIs, relational databases, cloud storage, and flat files.
  • Hands-on experience with Snowflake features including virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
  • Advanced SQL development skills, including complex query writing, performance tuning, and large-scale workload optimization.
  • Experience with dimensional modeling techniques such as 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.
  • Knowledge of data integration best practices, data governance, and enterprise data management.
  • 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.
  • Preferred stack includes Snowflake, Python/PySpark, SQL, ADLS, Azure Data Factory, Azure Key Vault, Git, Azure DevOps, CI/CD, and Terraform.

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

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