SENIOR DATA ENGINEER

Senior Data Engineer Description - Job Summary Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.
Frequently contributes to the development of new ideas and methods.
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Acts as an expert providing direction and guidance to process improvements and establishing policies.
Frequently represents the organization to external customers/clients.
Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives.
May provide mentoring and guidance to lower level employees.
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Responsibilities Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
Drives innovation and integration of new technologies into projects and activities in the big data space.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data engineering team for all phases of larger and more-complex development projects.
Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
Builds and manages relationships throughout the organization.
Provides guidance and mentoring to less experienced staff members.
Education and Experience Required 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 work experience, preferably in data analytics, data engineering, data modeling, or a related field.
Proven track record in API different multiplatform integrations.
Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills SQL (Programming Language) Python (Programming Language) API (Development on REST) Databricks Linux Server (Desirable) Agile Methodology Amazon Web Services Apache Hadoop Apache Kafka Apache Spark Big Data Computer Science Data Analysis Data Engineering Data Modeling Data Pipelines Data Warehousing Extract Transform Load (ETL) Java (Programming Language) Machine Learning Microsoft Azure Scala (Programming Language) Scalability Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Impact & Scope Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors Job - Software Schedule - Full time Shift - No shift premium (Mexico) Travel - 25% Relocation - No 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).
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