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

21 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 data warehouse structures.
  • 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 coordinate logical and physical data models with data architects and stakeholders.
  • Support integration between Snowflake and Azure cloud services and help establish data engineering standards and best practices.
  • Implement data quality checks, validation frameworks, monitoring, governance, security, and compliance controls.
  • Monitor and optimize SQL queries, ETL/ELT workloads, warehouse utilization, and pipeline performance to meet SLAs.
  • Maintain documentation for pipelines, transformations, data models, and operational processes, and support production incident resolution.

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 with the ability to write complex queries and tune performance for large-scale workloads.
  • 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 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.
  • Preferred: Experience with big data technologies, machine learning, data science platforms, or advanced analytics.
  • Preferred: Experience with BI tools such as Power BI or Tableau.
  • Preferred: Experience working in 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 conferences.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

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