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Stellantis

Staff Engineer, Analytics Engineering

Auburn Hills, MI, United States

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Job details

Experience: Minimum 5 years of experience as a Data Engineer or similar role
Posting language: English

Original job description

Do you have a passion for building innovative data pipelines and transforming raw data into actionable insights? Are you an expert in programming languages like Spark, SQL, and Python, and thrive in a collaborative environment? If so, we want to hear from you!

About the role:

We are seeking a talented and experienced Analytics/Data Engineer to join our growing team. In this role, you will play a key part in designing, developing, and maintaining the data pipelines that power our organization's data-driven decision making. You will work closely with data scientists, analysts, and other engineers to ensure that our data infrastructure is reliable, scalable, and secure.

Responsibilities:

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.

Basic Qualifications:

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

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