About the Role
We are looking for a highly experienced Data Engineer with a strong background in building production-grade data pipelines working with
complex automotive or time-series data formats (especially MF4/MDF4) and deploying large-scale solutions in Databricks.
The ideal candidate is fluent in Python and Data Storage formats comfortable working at the intersection of data engineering and data
analytics. This is a senior technical role requiring deep expertise independence and the ability to drive end-to-end delivery of data
Key Responsibilities
* Design and build robust data pipelines in Python to extract transform and load data from MF4/MDF4 files(e.g. automotive telemetry
sensor logs).
* Architect scalable ETL/ELT workflows in Databricks leveraging Delta Lake and cloud-native storage.
* Optimize performance and ensure reliability of pipelines handling large-scale high-frequency time-series datasets.
* Mentor junior engineers and contribute to technical design reviews architecture discussions and code quality.
* Stay ahead of industry trends data lake house architecture and data workflows.
Required Qualifications
* 5 years of experience in data engineering and software development.
* Advanced proficiency in Python with experience in performance tuning and large-scale data processing.
* Strong experience with Databricks Delta Lake and Spark (PySpark or Scala).
* Demonstrated ability to design and implement high-throughput fault-tolerant pipelines in production environments.
* Familiarity with cloud platforms (AWS Azure or GCP) including data storage compute and security best practices.
Preferred Qualifications
* Experience in automotive IoT or telemetry-heavy industries.
* Hands-on experience parsing and processing MF4/MDF4 files (ASAM standards).
* Prior exposure to Databricks Unity Catalog Delta Live Tables.
* Understanding of GitOps and CI/CD in software engineering
#PSSMSPT
Required Experience:
IC
About the RoleWe are looking for a highly experienced Data Engineer with a strong background in building production-grade data pipelines working withcomplex automotive or time-series data formats (especially MF4/MDF4) and deploying large-scale solutions in Databricks.The ideal candidate is fluent in...
About the Role
We are looking for a highly experienced Data Engineer with a strong background in building production-grade data pipelines working with
complex automotive or time-series data formats (especially MF4/MDF4) and deploying large-scale solutions in Databricks.
The ideal candidate is fluent in Python and Data Storage formats comfortable working at the intersection of data engineering and data
analytics. This is a senior technical role requiring deep expertise independence and the ability to drive end-to-end delivery of data
Key Responsibilities
* Design and build robust data pipelines in Python to extract transform and load data from MF4/MDF4 files(e.g. automotive telemetry
sensor logs).
* Architect scalable ETL/ELT workflows in Databricks leveraging Delta Lake and cloud-native storage.
* Optimize performance and ensure reliability of pipelines handling large-scale high-frequency time-series datasets.
* Mentor junior engineers and contribute to technical design reviews architecture discussions and code quality.
* Stay ahead of industry trends data lake house architecture and data workflows.
Required Qualifications
* 5 years of experience in data engineering and software development.
* Advanced proficiency in Python with experience in performance tuning and large-scale data processing.
* Strong experience with Databricks Delta Lake and Spark (PySpark or Scala).
* Demonstrated ability to design and implement high-throughput fault-tolerant pipelines in production environments.
* Familiarity with cloud platforms (AWS Azure or GCP) including data storage compute and security best practices.
Preferred Qualifications
* Experience in automotive IoT or telemetry-heavy industries.
* Hands-on experience parsing and processing MF4/MDF4 files (ASAM standards).
* Prior exposure to Databricks Unity Catalog Delta Live Tables.
* Understanding of GitOps and CI/CD in software engineering
#PSSMSPT
Required Experience:
IC
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