Description

You will design and build data pipelines for complex automotive telemetry and sensor data.

This role is on-site.

Responsibilities

• Design and develop Python-based ETL/ELT data pipelines for automotive telemetry.
• Build scalable data workflows in Databricks, utilizing Delta Lake and cloud-native storage.
• Optimize and maintain pipelines processing large-volume, high-frequency time-series datasets.
• Participate in architectural discussions, design reviews, and code quality improvements.
• Mentor junior engineers and contribute to technical roadmap planning.

Required Skills

• 5+ years of experience in Data Engineering and Software Development.
• Advanced proficiency in Python, including performance tuning and large-scale data processing.
• Strong hands-on experience with Databricks, Delta Lake, Spark, PySpark, or Scala.
• Proven experience designing fault-tolerant, high-throughput production pipelines.
• Knowledge of cloud platforms (AWS, Azure, GCP) covering storage, compute, IAM, and security.
• Proficiency in Data Engineering and Software Development practices.
• Experience with GitOps and CI/CD Pipelines.

Key Skills

Education

Bachelor's degree