HBITS-08-15019-IT Specialist-Expert

Knowledge Builders Inc

New York (NY)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Knowledge Builders Inc. is seeking a seasoned Data Governance Expert to design and operate data workflows, validate financial data, and enforce high data quality. You will engineer data solutions, automate reporting, and run complex queries to support governance and stakeholder needs.

The role requires extensive experience in data warehousing, SQL and cloud platforms, plus strong communication with cross-functional teams. A Bachelor's degree is required and NY-based, on-site work is expected.

Qualifications

  • 84 Months experience in Data warehousing, profiling, governance, modeling or data quality assurance for Financial Reporting.
  • 84 Months of Experience in SQL, Oracle and other Database Management Systems, including querying.
  • 84 Months of Experience with data visualization, dashboarding, using tools like Tableau, Business Objects, Power BI.
  • 84 Months of Experience in automating data tasks like ingestion, mapping, reporting, testing, validation, analysis, using programming languages such as SAS, Python, R, or Excel VBA.
  • 84 Months of Experience in providing governance and technical support. Liaise with data vendors/solution providers, internal stakeholders, other technology teams to support data strategy and initiatives.
  • 84 Months of Experience with Data Cataloging Platforms (e.g., Informatica, Collibra, Alation) to execute data profiling, data quality, data mapping and manage lineage.
  • 84 Months of experience in writing documentation to capture requirements and logic, and encourage adoption of data catalog, data quality and data management processes and other data related initiatives.
  • 36 Months of Experience in cloud-based data platforms, like Snowflake or Azure.

Responsibilities

  • Translate complex business requirements from data stakeholders into technical specifications for data pipelines and automated workflows.
  • Build and maintain data warehousing workflows and data pipelines using SQL and cloud database tools.
  • Compile, compute, analyze and validate data using advanced statistical formulas and model calculations.
  • Elaborate high-level policies and business needs into technical requirements to guide platform implementation.
  • Execute data profiling, build exception reports, and manage metadata/lineage using data platforms.
  • Use programming language (Python/VBA/R) to automate data ingestion and reporting processes.

Skills

SQL
Oracle
Data governance
Data warehousing
Data quality
Python
Tableau / Power BI

Education

Bachelor's Degree

Job description

Project/Program

We are looking for a technical expert to build data workflows, validate financial data, and enforce data quality. You will actively engineer data solutions, automate manual reporting, and query datasets to support Data Governance and business stakeholders.

Job Description

Project/Program:

We are looking for a technical expert to build data workflows, validate financial data, and enforce data quality. You will actively engineer data solutions, automate manual reporting, and query datasets to support Data Governance and business stakeholders.

Day-to-day Tasks

Day-to-day tasks may include but are not limited to:

  • Translate complex business requirements from data stakeholders into technical specifications for data pipelines and automated workflows.
  • Build and maintain data warehousing workflows and data pipelines using SQL and cloud database tools.
  • Compile, compute, analyze and validate data using advanced statistical formulas and model calculations.
  • Elaborate high-level policies and business needs into technical requirements (user stories/system use cases) to guide platform implementation.
  • Execute data profiling, build exception reports, and manage metadata/lineage using data platforms.
  • Use programming language (Python/VBA/R) to automate data ingestion and reporting processes.
Mandatory Qualifications

IT Specialist - Works in the field of Information Technology, experienced in the usage and support of a collection of development platforms, technical architectures or business applications and products that run on those platforms - beyond that of a Programmer.

Expert

84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.

Requested Qualifications
  • 84 Months experience in Data warehousing, profiling, governance, modeling or data quality assurance for Financial Reporting.
  • 84 Months of Experience in SQL, Oracle and other Database Management Systems, including querying. Provide example(s) of independently problem solving and support to internal data stakeholders that resolve data issues in real time.
  • 84 Months of Experience with data visualization, dashboarding, using tools like Tableau, Business Objects, Power BI.
  • 84 Months of Experience in automating data tasks like ingestion, mapping, reporting, testing, validation, analysis, using programming languages such as SAS, Python, R, or Excel VBA.
  • 84 Months of Experience in providing governance and technical support. Liaise with data vendors/solution providers, internal stakeholders, other technology teams (Data Architecture, Project Management team) to support data strategy and initiatives. Translate business requirements into technical specifications.
  • 84 Months of Experience with Data Cataloging Platforms (e.g., Informatica, Collibra, Alation) to execute data profiling, data quality, data mapping and manage lineage.
  • 84 Months of experience in writing documentation to capture requirements and logic, and encourage adoption of data catalog, data quality and data management processes and other data related initiatives (i.e., data platform/integration solutions).
  • 36 Months of Experience in cloud-based data platforms, like Snowflake or Azure.
  • Bachelor's Degree.

We provide equal employment opportunity for all applicants and employees regardless of race, color, sex, gender identity, gender expression, religion, age, national origin, citizenship, disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military/veteran status, or any other protected basis.

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