Seeking a Staff Data Engineer with 6-10 years of experience in the Automotive domain, specializing in Google Cloud Platform (GCP) services. This role focuses on data storage, processing, and analysis.

The ideal candidate will be proficient in building and maintaining data pipelines to automate data flows and ensure seamless system integration. A strong understanding of Python for data manipulation and transformation is essential, along with the ability to develop scripts for large datasets and implement quality checks.

Develop and manage robust data pipelines to automate data flows and ensure efficient data movement across various systems.

Utilize Python for comprehensive data manipulation, transformation, and integration tasks. This includes scripting for processing large datasets and implementing rigorous data quality checks.

Apply SQL expertise for querying relational databases, extracting valuable insights, and conducting in-depth data analysis.

Contribute to data warehousing initiatives, including the design and implementation of scalable warehouses for analytics and reporting purposes.

Execute and manage data migrations from legacy systems to modern platforms, ensuring efficient transformation of diverse data formats.

Requires 6-10 years of experience in Data Engineering, with a focus on Google Cloud Platform (GCP).

Proficiency in Python for data manipulation, transformation, and scripting is mandatory. Strong SQL skills for database querying and analysis are also essential.

Knowledge of data warehousing concepts and experience with data migrations are key requirements.

Educational background should include a Master of Technology (M.Tech) in Data Science or Data Engineering, or a Bachelor of Technology (B.Tech) in Computer Science or Information Technology.