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Tier-1 brand, metro location, mid-level generalist data role with broad Big Data skill requirements.
Core Big Data and engineering skills are transferable, though credit-card domain experience increases specificity.
Multiple mandatory Big Data technologies, explicit 3+ years and credit-card domain experience required.
Monitor, assess, analyze, and evaluate data processes within BigData systems and cloud platforms.
Identify data inconsistencies and policy gaps; formulate recommendations to improve policies, procedures, or practices.
Redesign and optimize complex data processes and computational systems for real-time and batch processing applications.
Master’s or Engineering Degree; Bachelor’s degree with equivalent experience considered.
More than 3 years of experience in BigData technologies like Hive, Hadoop, Spark (Python/Scala), Unix scripting, SQL, and Python/Scala programming.
Experience with large datasets, data warehouses, data preprocessing, and application engineering.
At least 3 years designing software systems for intense computational needs including real-time and batch processing; experience in Credit Cards domain.
Practical experience in transforming and optimizing undocumented/unstructured code into efficient, best-in-class solutions.
Strong understanding of supervised and unsupervised machine learning techniques integrated with data management.
Able to manage multiple stakeholders and projects with control orientation and risk awareness in a regulated financial services environment.