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

18 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, implement, and optimize Snowflake data platform components and cloud data solutions.
  • Manage Snowflake objects such as databases, schemas, tables, views, streams, tasks, stages, and stored procedures.
  • Extract and ingest structured and semi-structured data from REST APIs, databases, SaaS applications, flat files, and cloud storage.
  • Develop robust ingestion frameworks and logical/physical data models aligned with business goals.
  • Collaborate with data architects, analysts, scientists, and business stakeholders to gather requirements and provide technical expertise.
  • Implement automated data quality controls, validation frameworks, and monitoring processes.
  • Monitor and optimize Snowflake workloads, ETL/ELT processes, SQL queries, and warehouse utilization for performance and cost efficiency.
  • Support production environments, diagnose pipeline issues, resolve incidents, and maintain documentation for data processes and models.

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 including virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
  • Advanced SQL development skills, including complex queries and performance tuning for large-scale workloads.
  • Experience with dimensional modeling techniques such as star schemas, fact tables, and dimension tables.
  • Familiarity with Microsoft Azure or similar cloud-based data ecosystems.
  • Experience managing source code and CI/CD pipelines with 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 with changing priorities.
  • 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 Power BI, Tableau, or similar BI tools.
  • Preferred: Experience with 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 with bonuses and 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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