Location: Irving, TX USA
Duration: 9 months
No OPT and CPT
The candidate will be support Data Quality team and will require to identify, develop and test Business Rules to perform data quality on finance data from ledgers as well as Master Data associated with the financial data. The candidate will be responsible to establish data quality metrics compliant with the Data Quality Framework and develop / deliver Data Quality KPIs based on data requirements by project
MUST HAVE SKILLS:
Bachelor’s degree with eight or more years of work experience.
Five or more years of relevant work experience.
Knowledge of Microsoft Office Suites Products (e.g. Excel, PowerPoint and Outlook).
Sound understanding of IT architecture, IT processes, and SDLC life cycle.
Experience with Oracle/Hyperion BI suite.
Previous experience with implementing Data Quality, Issues Management and Data Validation frameworks.
Previous experience with relevant tools such as Informatica IDQ, Informatica Axon, Information Steward & Collibra.
Understanding of Multi-dimensional/OLAP concepts and exposure to tools like Essbase, SmartView, Planning & DRM.
Excellent organizational as well as communication (written and verbal) skills.
Knowledge of logical data modeling concepts (RDBMS Architecture) and querying tools such as SQL Navigator / Developer or TOAD.
Strong knowledge of SQL for both transaction and analytical use cases.
Database development experience with Relational or MPP/distributed systems such as Oracle/PostgreSQL/Teradata/Hadoop.
Experience in building/implementing best practices for data ingestion and ETL pipelines.
Extensive experience with MDM Methodologies and Data Cleansing and Transitioning Activities.
Experience with AWS environment
Experience with one or more programming languages preferably Python or Scala.
Background performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected data-sets.
Self-Driven, Highly motivated, strives for continued learning opportunities to build upon craft
Strong analytical and interpersonal skills
Ability to prioritize and complete tasks in timely manner to achieve project deadlines.
Ability to work with a limited amount of supervision in a challenging environment.
Ability to demonstrate effective problem-solving skills.
Ability to uphold Verizon policies and procedures.
Familiarity with industry best practices with regards to data quality and governance.
Previous Finance experience desired.
Professional accreditation such as CDMP or PMP a plus.
Experience with GL Ledgers (SAP, PS, Oracle) desired.
BA/BS in Computer Science, Information Systems or related scientific or technical discipline.
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