HP Development Company, L.P.
Data Engineering - Manager
HP Development Company, L.P., Spring, Texas, us, 77391
Data Engineering - Manager
Description -
Job SummaryThis role is responsible for ensuring the integrity of the underlying data and the consistent delivery of its products and services to internal and external customers. The role leads a team of data engineers that extract data for analysis and interpretation by other program teams including ad hoc analysis for customers and internal departments. The role serves as a consultant to other analytics functional areas to review, analyze and validate data to ensure accurate and structured data is provided that can be used to create dashboards, reports for making business decisions.
Responsibilities
Develops project deliverables including a project plan, resource plan, communication plan, and project charter.Provides data support for analytics product development and projects including data mining, statistical analysis and reporting.Serves as a consultant to external customers or internal cross-functional teams to document/review, analyze and validate data used for both internal and external informatics projects.Creates appropriate project concept documents, including data selection criteria, aggregation requirements, measurement definitions and appropriate analyses based on customer business requirements.Participates in process analysis, team building, leading and motivating, performance management and conflict management activities.Manages the work, sets priorities and conveys the appropriate sense of urgency and executes strategic/tactical plans efficiently and effectively.Develops knowledge base to support strategic initiatives post close out.Develops robust business cases to support and prioritize opportunities.Effectively communicates clear and concise recommendations regarding data engineering solutions to leadership and other teams' end users.Provides leadership experience in planning and executing a portfolio of initiatives that build analytics capabilities to serve organizational strategic goals.Education & Experience
Recommended
Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in data analytics, data engineering, data modeling, or a related field.Expertise in SAP HANA BW, Databricks, and Azure technologiesExperience with financial data systems and processesPreferred CertificationsProgramming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
Strong communication and interpersonal skillsAbility to manage multiple projects and priorities in a fast-paced environmentAgile MethodologyBig DataData Analysis, Data Engineering, Data ModelingData Pipelines, Data Warehousing, Extract Transform Load (ETL)Microsoft AzurePython (Programming Language)Scala (Programming Language)ScalabilitySQL (Programming Language)Cross-Org Skills
Customer CentricityPrioritizationResilienceTeam ManagementStrategic Thinking
Impact & ScopeImpacts function and leads projects requiring understanding of multiple disciplines or areas of HP.
ComplexityUses managerial concepts and company objectives to resolve issues in creative and effective ways.
DisclaimerThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -Software
Schedule -Full time
Shift -No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement
Description -
Job SummaryThis role is responsible for ensuring the integrity of the underlying data and the consistent delivery of its products and services to internal and external customers. The role leads a team of data engineers that extract data for analysis and interpretation by other program teams including ad hoc analysis for customers and internal departments. The role serves as a consultant to other analytics functional areas to review, analyze and validate data to ensure accurate and structured data is provided that can be used to create dashboards, reports for making business decisions.
Responsibilities
Develops project deliverables including a project plan, resource plan, communication plan, and project charter.Provides data support for analytics product development and projects including data mining, statistical analysis and reporting.Serves as a consultant to external customers or internal cross-functional teams to document/review, analyze and validate data used for both internal and external informatics projects.Creates appropriate project concept documents, including data selection criteria, aggregation requirements, measurement definitions and appropriate analyses based on customer business requirements.Participates in process analysis, team building, leading and motivating, performance management and conflict management activities.Manages the work, sets priorities and conveys the appropriate sense of urgency and executes strategic/tactical plans efficiently and effectively.Develops knowledge base to support strategic initiatives post close out.Develops robust business cases to support and prioritize opportunities.Effectively communicates clear and concise recommendations regarding data engineering solutions to leadership and other teams' end users.Provides leadership experience in planning and executing a portfolio of initiatives that build analytics capabilities to serve organizational strategic goals.Education & Experience
Recommended
Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in data analytics, data engineering, data modeling, or a related field.Expertise in SAP HANA BW, Databricks, and Azure technologiesExperience with financial data systems and processesPreferred CertificationsProgramming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
Strong communication and interpersonal skillsAbility to manage multiple projects and priorities in a fast-paced environmentAgile MethodologyBig DataData Analysis, Data Engineering, Data ModelingData Pipelines, Data Warehousing, Extract Transform Load (ETL)Microsoft AzurePython (Programming Language)Scala (Programming Language)ScalabilitySQL (Programming Language)Cross-Org Skills
Customer CentricityPrioritizationResilienceTeam ManagementStrategic Thinking
Impact & ScopeImpacts function and leads projects requiring understanding of multiple disciplines or areas of HP.
ComplexityUses managerial concepts and company objectives to resolve issues in creative and effective ways.
DisclaimerThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -Software
Schedule -Full time
Shift -No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement