Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 13th Feb 2023

JOB DETAIL

This is a phone and Skype to hire. Candidates in Charlotte, NC with a LinkedIn profile required.

 

More to come, but the basic data gov. skillset needed:

  • Experience with Collibra
  • Experience with SQL and queries
  • Experience supporting data governance-related efforts in a large bank
  • Data Governance / Data Management (DCAMS certified would be preferred)
  • Some coding languages / development experience preferred (but probably not a must)
    • Python / SQL

 

  • Detailed oriented with the ability to focus on managing multiple processes
  • Well versed in working with a variety of data/analytics roles including analysts, scientists, and engineers
  • Detailed knowledge in one or more data management areas such as data quality, data migration, metadata management
  • Experience in the roll-out and adoption of governance tools such as Alation, Collibra, Informatica, or Microsoft Purview.
  • Proficient in process documentation with an ability to guide others through complicated data flows to ensure common understanding
  • Significant experience in developing and socializing metrics in a way that tells a story
  • Highly skilled in tailoring communication to ensure buy-in across a wide range of business and technical roles
  • Experience presenting and influencing with senior/executive leadership
  • Capable of negotiation and influence of operational teams on data management improvement actions
  • Participating in preliminary data analysis for new projects to resolve whether required data exists within DTCC; identifying and detailing authoritative sources for existing data; defining onboarding plans for new data
  • Collaborating with business and operational collaborators to comprehensively analyze data in order to produce logical data element names, document clear and accurate data element descriptions, and identify valid values for the data
  • Assisting data modelers in producing conceptual and logical data models, including entity and attribute names and definitions
  • Applying the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in support of data management initiatives and enterprise-wide data modernization efforts
  • Supporting data quality through data profiling, defining and documenting data quality and data validation rules, performing root cause analysis for identified data quality issues, and supporting data cleansing efforts to ensure that data is fit for its intended use
  • Assisting the Data Steward with project planning, identification of resource requirements, and effort estimation
  • Independently handling assigned projects, through the life cycle from initiation through to closing
  • Defining, tracking, and reporting on critical metrics for identified use cases
  • Providing analytical and reporting capabilities to support decision making by the CoE’s collaborators
  • Crafting and delivering clear and concise, high quality presentations to collaborators and leadership that provide the appropriate level of detail for the intended audience
  • Participating importantly as a core member of one or more agile squads, including attending daily stand-up, grooming sessions and other agile ceremonies, documenting user stories, and tracking and reporting on relevant project metrics
  • Strong understanding of data management processes and standard methodologies
  • Excellent written and verbal communication skills
  • Excellent analytical and quantitative skills
  • Proficiency with Microsoft Office tools (Word, Excel, PowerPoint) required; experience with data management tools (e.g. Collibra), and business process tools (e.g. Mega HOPEX) preferred
  • Technical Skills preferred, such as the ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus

Company Information