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Job Description
Structured overview of role & requirementsAbout This Role
Own data ingestion, aggregation, and processing to generate actionable insights from diverse datasets.
Develop data engineering solutions leveraging platforms like Cloudera Data Engineering, Databricks, and AWS.
Collaborate with cross-functional teams to integrate new data assets and deliver innovative, data-driven cyber security products and services.
Minimum Requirements
Proficient in Python (Pandas, Numpy, PySpark) and SQL with experience in data analysis and development on Hadoop and Databricks Cloud platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with data modeling, querying, data mining, and report development using large datasets.
Familiarity with ETL/ELT tools is a plus but not mandatory; exposure to Graph Database is desirable but not a strict requirement.
Ideal Candidate Profile
Experienced in delivering data engineering solutions within fast-paced, multi-disciplinary teams involving product, data science, and technology partners.
Strong technical skills in large-scale data platforms and advanced analytics to support product innovation and business intelligence.
Comfortable translating between business, analytical, and technical stakeholders to define and articulate solution requirements.