HP’s Digital Transformation
HP aims to become a digitally driven company and utilize the power of Data and AI to deliver outstanding Customer experience, improve collaboration with our Partners, improve our processes and fuel new business models creating technologies that makes life better for everyone, everywhere.
In support of HP’s Digital Transformation, we are seeking individuals with leadership and passion to join the Digital Transformation Organization, focused upon driving HP Data Strategy initiatives partnering with the Product Bus, IT and Functions to enable data integration & federation across the company, establish Data culture and accelerate to a data-as-a-service architecture.
Job Description
- As a “Data Engineer” you will be a key contributor in HP Data Transformation journey by driving design and implementation of Data Quality Monitoring and Data Lineage automation solutions.
- You will partner with Data Transformation, IT and Business Functions technical architects to integrate Data Quality and Data Lineage automation SW with key HP systems and BI Platforms.
- Responsible to design appropriate solutions and automation considering system specific requirements, volume of data, source system and DQ platform performance.
- Responsible to develop Data Quality Monitoring and Lineage solutions in alignment to HP API, Cloud and DATA OPS strategy.
- Responsible to develop, test and move to production automated Data and/or Meta Data connectivity with source systems in alignment to the standard cybersecurity and data governance guidelines.
- Responsible for advanced technical application support and issues troubleshooting for Data Quality Monitoring and Data Lineage SW applications.
- Responsible for development of advanced Data Quality checks, Data Matching solutions, automations, leveraging AI/ML models.
- Drive knowledge transfer and coaching of other DEVOPS and DATAOPS teams working on Data Quality Monitoring platform.
Education, Experience and Skills
- Bachelors or Master’s in computer science, MIS, Engineering, Information Management preferred
- 5-7 years’ work experience (minimum), including 2+ years at fast paced, multi-national companies.
- 3-5 years experience in data engineering (minimum), data pipeline design, data quality management.
- Demonstrated ability to deal with complex data pipelines design and implementation (API based, ETL, Data Warehousing/Data Lakes ..).
- Hands on experience on API implementations, demonstrated experience in working with Cloud based data management solutions.
- Demonstrated experience with both structured – SQL based relational data and semi structured no/SQL data storing and management.
- Demonstrated ability to analyze large volume of data, hands on SQL data profiling experience.
- Experience on Oracle, SQL server data bases, S4/ Hana is a plus.
- Demonstrated DEVOPS experience applying CI (Continuous Integration) and CD (Continuous Delivery) automation practices.
- Experience with tools such as Terraform, GitOps or equivalent is a plus.
- Experience with programming languages such as SQL, C/C++, Python (preferred), Java (a plus).
- Experience with data quality software like Ataccama, Informatica IDQ, SAS, MIOsoft, RedPoint, Trillium is a plus.
- Experience with Data Lineage software like Manta, Collibra is a plus.
- Experience with software development lifecycle methodologies (SCRUM / agile).
- Experience with Software applications testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
- Demonstrated experience in working with diverse, multi-cultural teams.
- Excellent communication skills, ability to communicate effectively at technical and business level.
- Results orientation, strong organization and prioritization skills to deliver results in the short and long term (think big, start small, move fast).
- Ability to develop a collaborative work environment and partner with multiple teams, influencing and partnering to achieve common goals.
About HP
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