Mission: As an Entry-Level Data Engineer, you will support the development and maintenance of data pipelines, ensuring data quality and integrity. You will work closely with senior data engineers and other departments to help process, clean, and model large volumes of data.

Key Responsibilities:

Assist in the implementation of data processing pipelines for various projects.
Ensure the performance and integrity of data processing, whether batch or real-time.
Help implement monitoring tools to oversee the processing chain from end to end.
Document processing chains and contribute to creating scalable and transposable solutions.
Support the development and implementation of data collection and storage solutions.
Ensure data integration, check data quality, and structure data for future use.
Transform and create datasets, implement models, and monitor data flows.
Assist in the industrialization of models and ensure compliance with data governance rules.

Requirements:

Skills:

Basic understanding of Big Data environments (e.g., Spark, Hadoop).
Familiarity with programming languages (e.g., Shell, Python) and data tools.
Basic knowledge of query tools and data processing (ETL/ELT, real-time).
Proficiency in SQL and noSQL databases (e.g., Oracle, HBase).
Good communication skills and ability to work with business teams.
Familiarity with versioning tools (e.g., Git, GitHub) and quality assurance (CI/CD).
Understanding of APIs and automation tools (e.g., Airflow, Docker).

Top Performers Will Demonstrate:

The ability to identify and meet the needs of others in their team and across the company.
Consistent demonstration of engineering best practices on data management.
Keeping up to date with evolving Big Data technology and sharing knowledge across the organization.

Education and Experience:

Relevant coursework or experience in data engineering, preferably in a fast-paced environment.
Experience or familiarity with designing and optimizing data pipelines, data models, and data platforms.
Awareness of data privacy compliance (e.g., GDPR, CCPA).

Additional Information:

This role includes opportunities for mentoring and technical growth within the data engineering organization.

The position involves collaboration with the global data governance team and engineering peers to implement standardized data libraries, catalogs, and instrumentation

Stellantis jobs

Data Engineer