Senior Data Engineer – Remote ETL & Snowflake Expert

Bluelight Consulting, Llc; Mar del Plata; Remote; ARS 136,147,000 - 226,912,000; Full time

Benefits offered by this job

Competitive salary

Generous PTO

Remote work

Continuing education

Certifications sponsorship

Job summary

Bluelight Consulting, Llc is seeking a data engineering specialist to design and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and Azure cloud services. You will implement data models, ingest from REST APIs and databases, and optimize warehouse performance.

Responsibilities include building reliable ingestion processes, leveraging Snowflake features, and collaborating with data architects and analysts to meet business goals in a fast-paced environment.

Qualifications

• Education: Bachelor's degree in CS/IT/Data Eng or related field.
• Experience: End-to-end data pipelines using REST APIs, databases, cloud storage, and flat files.
• Snowflake proficiency: virtual warehouses, streams, tasks, stages, Snowpipe, data sharing, performance optimization.
• SQL: advanced queries and large-scale workloads.
• Data modeling: star schemas and dimensional modeling.
• Azure cloud familiarity.
• Source control and CI/CD with Git and Azure DevOps.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines with PySpark, Snowflake, and cloud tech.
• Build reliable data ingestion, transformation, and loading processes.
• Leverage Snowflake objects and features to optimize data warehousing.
• Implement dimensional modeling for scalable data warehouses.
• Ingest data from REST APIs, databases, SaaS apps, and cloud storage.
• Collaborate with data architects and stakeholders to align models with business goals.

Skills

Snowflake

Python/PySpark

SQL

Azure

ETL/ELT

REST APIs

Data Modeling

Git/Azure DevOps

Education

Bachelor’s degree in Computer Science / related field

Tools

Snowflake

Azure DevOps

Git

Power BI

Job description

Bluelight Consulting, Llc is seeking a data engineering specialist to design and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and Azure cloud services. You will implement data models, ingest from REST APIs and databases, and optimize warehouse performance.

Responsibilities include building reliable ingestion processes, leveraging Snowflake features, and collaborating with data architects and analysts to meet business goals in a fast-paced environment.