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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain advanced data engineering solutions using Python, Pyspark, SQL, and cloud technologies (Azure, Databricks, ADF, ADLS, AKV).
Communicate regularly with stakeholders to report project progress, address concerns, and manage documentation such as migration plans, technical specs, and test results.
Work with time-series data aggregation and support integration involving technologies like Docker, REST API, and optionally frontend frameworks (React, Django, modern CSS).
Minimum Requirements
Master's degree in engineering.
Advanced skills in Python and Pyspark programming with experience in version control using GIT.
Proven experience working with Azure cloud services including Databricks, ADF, ADLS, and AKV.
Strong SQL expertise is mandatory; work experience required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in cloud-based data engineering and analytics environments, especially using Azure technologies.
Comfortable engaging with technical and non-technical stakeholders for communication and documentation purposes.
Familiarity with automotive domain and data visualization tools (Tableau/Power BI) is advantageous but not required.