Senior Analytics Data Engineer — Spark, Python & Databricks

Stellantis NV; Auburn (AL); In loco; USD 110.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Paid time off and holidays

401(k) matching

Company vehicle lease

Family building benefit

Tuition reimbursement

Volunteer hours

Descrizione del lavoro

Stellantis is seeking an Analytics/Data Engineer to design, develop, and maintain scalable data pipelines that power data-driven decision making. You will collaborate with data scientists, analysts, and other engineers to ensure a reliable, scalable data infrastructure.

The role emphasizes hands-on data engineering using Spark, SQL, Python, and Databricks, with strong emphasis on data quality, CI/CD, and collaboration in a fast-paced environment.

Competenze

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum 5 years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL, Python, and Spark.
• Familiarity with Databricks platform.
• Experience with data warehousing and data lakes (e.g., AWS Redshift, Snowflake) is a plus.
• Experience with Git and software development best practices (unit testing, code reviews, CI/CD).
• Experience leveraging Gen AI tooling.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

Mansioni

• Design, develop, and maintain scalable data pipelines using Spark, SQL, and Python.
• Utilize Databricks platform to build and manage data processing workflows.
• Clean, transform, and integrate data from various sources into a unified format.
• Implement data quality checks and monitoring processes for data accuracy.
• Collaborate with data scientists and analysts to understand data needs and develop solutions.
• Document data pipelines and processes with clear language.
• Utilize Git for version control in a collaborative environment.
• Follow CI/CD and software development best practices.
• Stay up to date with the latest data engineering advancements.

Conoscenze

SQL

Python

Spark

Gen AI tooling

Data collaboration

Formazione

Bachelor's degree in CS/IT/related

Strumenti

Databricks

AWS Redshift

Snowflake

Git

CI/CD

Descrizione del lavoro

Stellantis is seeking an Analytics/Data Engineer to design, develop, and maintain scalable data pipelines that power data-driven decision making. You will collaborate with data scientists, analysts, and other engineers to ensure a reliable, scalable data infrastructure.

The role emphasizes hands-on data engineering using Spark, SQL, Python, and Databricks, with strong emphasis on data quality, CI/CD, and collaboration in a fast-paced environment.