Staff Analytics Engineer: Spark, SQL & Databricks Architect

Stellantis NV

Auburn Hills (MI)

In loco

USD 120.000 - 160.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health insurance
Paid time off
401(k) plan
Company vehicle lease

Descrizione del lavoro

Stellantis NV in Auburn Hills, MI seeks an Analytics/Data Engineer to design, build, and maintain scalable data pipelines powering data-driven decisions across teams. You will collaborate with data scientists, analysts, and engineers to ensure reliable, secure data infrastructure.

You will work with Spark, SQL, Python, and Databricks to transform raw data into insights, implement data quality checks, and contribute to CI/CD practices.

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 and efficient 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 and consistent format
  • Implement data quality checks and monitoring processes to ensure data accuracy and completeness
  • Collaborate with data scientists and analysts to understand their data needs and develop solutions
  • Document data pipelines and processes using clear and concise language
  • Utilize Git for version control and maintain a clean and collaborative development environment
  • Follow software development best practices, including unit testing, code reviews, and continuous integration/continuous delivery (CI/CD)
  • Stay up to date with the latest advancements in data engineering technologies and best practices.

Conoscenze

SQL
Python
Spark
Data modeling
Data quality
CI/CD
Git
Collaboration
Gen AI tooling

Formazione

Bachelor's degree in Computer Science, IT, or related field

Strumenti

Databricks
AWS Redshift
Snowflake

Descrizione del lavoro

Stellantis NV in Auburn Hills, MI seeks an Analytics/Data Engineer to design, build, and maintain scalable data pipelines powering data-driven decisions across teams. You will collaborate with data scientists, analysts, and engineers to ensure reliable, secure data infrastructure.

You will work with Spark, SQL, Python, and Databricks to transform raw data into insights, implement data quality checks, and contribute to CI/CD practices.

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