Description

You will manage system data engineering workflows, reliability testing processes, and electro-mechanical test equipment analysis.

Responsibilities

• Manage system data engineering workflows and reliability testing processes.
• Apply data science methodologies including hypothesis testing, regression, clustering, and time-series analysis.
• Perform performance tuning of Spark SQL on S3, Data Lake, or Delta Lake storage.
• Configure Databricks clusters and manage cloud-based data environments.
• Execute feature engineering and deep learning techniques to support model development.

Required Skills

• 3+ years of experience with SQL, Python, or Ruby.
• 2+ years of professional experience working as a Data Scientist.
• Proficiency in data visualization using Tableau, Power BI, or similar tools.
• Hands-on experience with Azure, Elasticsearch, AQS, and Kafka.
• Strong knowledge of Databricks and cluster configurations.
• Experience with Spark SQL performance tuning within S3 or Delta Lake environments.
• Experience with statistical software such as R, SAS, or MATLAB.
• Background in Mechanical or Biomedical engineering.

Key Skills

Education

Any Graduate