Chief Data Pipeline Architect

beBeeDataEngineer; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading data solutions firm in Barcelona is looking for a Senior Data Engineer to design and maintain scalable data pipelines. The role requires expertise in Python, Azure Data Factory, Snowflake, and Databricks. Ideal candidates will have over 8 years of experience in data engineering and proficiency in ETL processes. Competitive salary and professional growth opportunities are offered.

Servicios

Competitive salary

Professional development opportunities

Benefits package

Formación

• 8+ years of experience in data engineering with a focus on Python, Azure Data Factory, Snowflake, Databricks, and ETL processes.
• Proficiency in SQL and experience with cloud-based data storage and processing.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Experience with Agile methodologies and working in a collaborative team environment.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Python, Azure Data Factory, and Databricks.
• Implement ETL processes to load data from various sources into Snowflake.

Conocimientos

Python

Snowflake

Azure Data Factory

Databricks

Educación

Bachelor's degree in computer science or equivalent

Descripción del empleo

Senior Data Engineer Position

We are seeking a highly skilled Senior Data Engineer to join our team. This is a critical role that requires leadership qualities, excellent communication skills, and technical expertise in data architecture, ETL processes, and cloud-based data storage.

About the Role

The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines using Python, Azure Data Factory, and Databricks. They will also implement ETL processes to extract, transform, and load data from various sources into Snowflake, ensuring data is processed efficiently and made available for analytics and reporting.

Requirements

• 8+ years of experience in data engineering with a focus on Python, Azure Data Factory, Snowflake, Databricks, and ETL processes
• Proficiency in SQL and experience with cloud-based data storage and processing
• Strong problem-solving skills and ability to work in a fast-paced environment
• Experience with Agile methodologies and working in a collaborative team environment
• Certification in Snowflake, Azure, or other relevant technologies an added advantage

Skills and Qualifications

Mandatory skills include :

Python

Snowflake

Azure Data Factory

Databricks

Bachelor's degree in computer science engineering, Information Systems, or equivalent field required.

Benefits

This is a great opportunity to grow your career in a dynamic company. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.