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

Sobre esta vaga

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.
What we are looking for

• Education & Experience

• Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent professional experience).

• Core Experience: Proven experience developing end-to-end data pipelines extracting/transforming/loading data from REST APIs, relational databases, cloud storage, and flat files.

• Snowflake Proficiency: Demonstrated hands-on experience with virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.

• SQL: Advanced SQL development skills with the ability to write complex queries, tune performance, and optimize large-scale workloads.

• Data Modeling: Experience with dimensional modeling techniques (star schemas, fact tables, dimension tables).

• Cloud & DevOps:

• Familiarity with cloud-based data ecosystems, particularly Microsoft Azure.

• Managing source code and CI/CD pipelines using Git and Azure DevOps (or similar).

• Soft Skills & Practices:

• Strong analytical, problem-solving, and detail-oriented mindset.

• Excellent verbal and written communication skills; ability to collaborate in a fast-paced environment with evolving priorities.

• Knowledge of data integration best practices, data governance, and enterprise data management.

• Preferred / Nice-to-Have

• Certifications: SnowPro, Azure Data Engineer Associate, or equivalent cloud data platform certifications.

• Advanced Tech: Big data technologies, machine learning, data science platforms, or advanced analytics.

• BI Tools: Power BI, Tableau, or similar visualization platforms.

• Methodologies: Agile delivery frameworks and DevOps practices.

• Preferred Tech Stack Summary

• Core: Snowflake, Python/PySpark, SQL

• Cloud & Orchestration: Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Key Vault

• DevOps & Infrastructure: Git, Azure DevOps, CI/CD, Infrastructure as Code (Terraform preferred)

• Integration & Analytics: REST APIs, Power BI

Responsibilities

• Data Engineering & ETL Development

• 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.

• Snowflake Data Platform & Warehousing

• Utilize Snowflake’s architecture to design, build, and optimize modern cloud data solutions.

• Implement and manage Snowflake objects (databases, schemas, tables, views, streams, tasks, stages, stored procedures).

• Leverage virtual warehouses, data sharing, time travel, and automated scaling to balance performance and cost efficiency.

• Apply dimensional modeling (star schemas, facts, dimensions) to build scalable enterprise data warehouses.

• Data Integration & Modeling

• Extract and ingest structured and semi-structured data from REST APIs, relational databases, SaaS apps, flat files, and cloud storage.

• Develop robust ingestion frameworks.

• Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals.

• Cloud Architecture & Standards

• Contribute to modern data platform concepts (data lakes, lakehouses, data mesh architectures, enterprise data catalogs).

• Support integration between Snowflake and cloud-native services (primarily Azure).

• Establish and enforce data engineering standards and best practices.

• Quality, Governance & Security

• Implement automated data quality controls, validation frameworks, and monitoring processes.

• Support data governance initiatives and maintain adherence to organizational standards.

• Ensure data security, privacy, and regulatory compliance (access controls, masking policies, industry best practices).

• Optimization, Operations & Maintenance

• Monitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet SLAs.

• Analyze warehouse utilization and recommend performance and cost-efficiency improvements.

• Monitor pipelines, diagnose performance issues, and implement long-term solutions; support production environments and incident resolution.

• Maintain comprehensive documentation for pipelines, flows, transformations, data models, and operational processes.

• Collaboration

• Partner with cross-functional teams (data architects, data scientists, analysts, business stakeholders) to understand requirements and provide technical expertise.

Company Benefits

• Competitive salary and bonuses, including performance-based salary increases.

• Generous paid-time-off policy

• Flexible working hours

• Work remotely

• Continuing education, training,…