Job Description

Interview Required: Video & Onsite final

Job Description:

Job Responsibilities

Supports review of controls to ensure sufficient protection of enterprise data
Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
Updates logical or physical data models based on new use cases
Innovate new ways of managing, transforming and validating data
Apply quality assurance best practices to all work products
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Adds to team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

Formal training or certification on data engineering disciplines and 3+ years applied experience
Experience across the data lifecycle
Advanced at SQL (e.g., joins and aggregations)
Working understanding of NoSQL database platforms and writing efficient SQL's
Knowledge of application, data and infrastructure architecture disciplines
Solid experience in Big Data technologies; (Spark, Impala, Hive, Redshift, Kafka, etc.)
Skilled in Java and Python development - MUST
Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
Experience customizing changes in a tool to generate product
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Preferred Qualifications, Capabilities, And Skills

Experience with data analytics/data management processes on AWS
Financial Services and Commercial and Investment Banking experience
Familiarity with DynamoDB and/or Cassandra

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