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

30 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 structured and semi-structured data from REST APIs, relational databases, SaaS applications, flat files, and cloud storage.
  • Develop robust ingestion frameworks and dimensional data models for scalable enterprise data warehouses.
  • Collaborate with data architects and stakeholders to define logical and physical data models aligned with business goals.
  • Support integration between Snowflake and Azure cloud services and help establish data engineering standards and best practices.
  • Implement automated data quality checks, validation frameworks, monitoring, and security/compliance controls.
  • Monitor and optimize workloads, SQL queries, and pipeline performance, and support production incidents and documentation.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent professional experience.
  • Proven experience building 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 skills, including complex query development, performance tuning, and large-scale workload optimization.
  • Experience with dimensional modeling, including star schemas, fact tables, and dimension tables.
  • Familiarity with Microsoft Azure and cloud-based data ecosystems.
  • Experience managing source code and CI/CD pipelines with 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 or Azure Data Engineer Associate certification, or equivalent cloud data platform certification.
  • 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, 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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