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

15 minutes ago
Brazil
Full-time
Senior
Data Engineer
Software Development
Agile Apache Spark Azure CI/CD Git Machine Learning Power BI Python REST API Snowflake SQL Tableau Terraform
Apply Now
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
View All Jobs 1066

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 workloads.
  • 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 scalable enterprise data warehouses using dimensional modeling.
  • Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals.
  • Implement automated data quality controls, validation frameworks, monitoring processes, and production support.
  • Monitor and optimize pipelines, SQL queries, and warehouse utilization to meet SLAs and improve performance and cost efficiency.
  • 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 collaborate in a fast-paced environment with evolving priorities.
  • 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 and bonuses, including 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

Apply Now

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