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Job Description
Structured overview of role & requirementsAbout This Role
Own and improve big data processes and systems using Hive, Hadoop, Spark (Python/Scala).
Convert unstructured and undocumented code into optimized, best-in-class code aligning with development standards.
Work with large and multiple datasets to perform data preprocessing, application engineering, and support real-time and batch processing needs.
Minimum Requirements
Education: Bachelor's or Master's/Engineering degree or equivalent experience.
0-2 years experience with Big Data systems including Hive, Hadoop, Spark (Python/Scala), and cloud-based data management technologies.
Proficiency in Unix scripting, Python, Scala programming, and SQL.
Experience working in onsite/offsite delivery models; ability to handle large datasets and data warehouses.
Ideal Candidate Profile
Has strong hands-on experience in big data engineering with exposure to machine learning techniques and ETL tools (Talend preferred).
Capable of analyzing and solving complex business problems and presenting solutions succinctly to management.
Experienced with software system design for intensive computational needs across both real-time and batch processing environments.