Data engineer(sql)

Position Objective

The Full Stack Data Engineer plays a critical role in developing and managing our sophisticated data infrastructure and analytics platforms. This position requires a blend of data engineering and software development expertise, with a significant emphasis on utilizing leading-edge technologies like Spark, SQL Python and Databricks.

Key Responsibilities
Data Pipelines: Design and maintain scalable data pipelines using Databricks and Spark for real-time and batch processing, ensuring data integrity and efficiency.
Data Storage: Implement and manage data storage solutions in Snowflake, optimizing for scalability, performance, and security.
Data Transformation: Utilize DBT for effective data transformation and modeling to support both analytical and operational needs.

Qualifications & Skills

Experience: Demonstrated experience in data engineering or similar roles, with a strong background in technologies like Databricks, Snowflake, Spark, DBT, MicroStrategy, Tableau, and ThoughtSpot.
Technical Proficiency: Proficient in Python and SQL, with an understanding of front-end technologies for effective dashboarding and reporting.
Expertise: Deep understanding of data modeling, ETL/ELT processes, data warehousing, and big data technologies.
Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

Profesional

Técnico universitario

Big Data

3 años de experiencia

1 Vacante