• Job Description

  Req#: R240200234
  Senior Analyst - Big Data Engineering - IN
  Professionals in this group design and implement high-performance, scalable and optimized data solutions for large enterprise wide data mining and processing.
  
  Key Responsibilities and Duties

  • They are responsible for design and development of data flows and Big Data Platform deployment and implementation.
  • Incumbents usually require expert knowledge in Apache, Hadoop, NoSQL databases, Spark, Hive etc.

  Educational Requirements

  • University (Degree) Preferred

  Work Experience

  • No Experience Required

  Physical Requirements

  • Physical Requirements: Sedentary Work

  
  Career Level
  5IC
  

  • Conduct comprehensive data profiling and analysis to understand data structures, relationships, and patterns.
  • Identify anomalies and discrepancies in the data and propose solutions for resolution.Perform data quality assessments to ensure accuracy, completeness, and consistency of data across various sources.
  • Develop data quality rules and validations.
  • Collaborate with data stewards and business users to cleanse and standardize data as per established guidelines.
  • Implement data cleansing processes to improve overall data quality.
  • Create and maintain metadata documentation for datasets, ensuring data lineage and facilitating easy discovery of information.
  • Contribute to the development of a comprehensive data dictionary.
  • Experience working with Entity \Account Reference Data across asset classes including equities, fixed income and derivatives.
  • Experience/expertise in the use of some/all: AWS Databrew, Power BI, SQL, Excel query/pivot
  • Experience/expertise in the use of some/all: Eagle Pace, Golden Source, Oracle SQL Developer, SnowFlake, AWS Quicksight.
  • Knowledge of market data sources, products and tools
  • Ability to work relatively independently and in a team-oriented, collaborative environment.
  • Prioritization and problem-solving skills.
  • Very good communication skills, written and verbal.

  Related Skills

  Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling

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  Company Overview

  TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

  
  Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

  We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

  Accessibility Support

  TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

  If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:

  Phone: (800) 842-2755

  Email: accessibility.support@tiaa.org

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• About the company

  The Teachers Insurance and Annuity Association of America-College Retirement Equities Fund, is a Fortune 100 financial services organization that is the leading provider of financial services in the academic, research, medical, cultural and governmenta...

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