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

16 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.
  • Implement and manage Snowflake objects such as databases, schemas, tables, views, streams, tasks, stages, and stored procedures.
  • Extract and ingest data from REST APIs, relational databases, SaaS applications, flat files, and cloud storage.
  • Develop robust ingestion frameworks and support logical and physical data modeling.
  • Collaborate with data architects and stakeholders to align data models and solutions 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 performance issues, and resolve incidents.
  • Maintain comprehensive documentation for pipelines, transformations, data models, and operational processes.
  • Partner with cross-functional teams to provide technical expertise and support data governance, security, and compliance.

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, including 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 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 collaborate in a fast-paced environment.
  • Knowledge of data integration best practices, data governance, and enterprise data management.
  • SnowPro, Azure Data Engineer Associate, or equivalent cloud data platform certifications are preferred.
  • Experience with big data technologies, machine learning, data science platforms, or advanced analytics is preferred.
  • Experience with Power BI, Tableau, or similar BI tools is preferred.
  • Experience with Agile delivery frameworks and DevOps practices is preferred.
  • Core stack includes Snowflake, Python/PySpark, and SQL; preferred tools include ADLS, Azure Data Factory, Azure Key Vault, 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 conference support.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

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