Senior Data Engineer - Barcelona, España - Hewlett Packard
Descripción
The HP Ecommerce CRM enablement team is seeking for its CDP program a proven and hands-on Databricks process architect and engineering leader to drive our Databricks transformation, pipelines architecture, governance and engineering patterns.
Our CDP delivers a unified Customer data model across our global CRM operations.In this role, you will be responsible for driving our Databricks migration, designing and executing a comprehensive pipeline architecture strategy that aligns with CDP team's skillsets, business objectives and drives compliant, efficient and effective data management.
Responsibilities:
- Drive our AWS Databricks transformation from current relational DB setup.
- Collaborate with our diverse teams, SQL developers/data engineers/CRM analysts, to develop, implement and maintain sustainable, highperformance, growthready dataprocessing and data integration systems
- Provide best practice on CI/CD techniques with Git and Databricks
- Provide best practice on Databricks cluster management.
- Reviews and evaluates designs and project activities for compliance with privacy, architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- Design and maintain an appropriate metadata repository to enable the organization to understand its data assets.
- Builds and manages relationships throughout the organization.
- 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.
- Provides guidance and mentoring to less experienced staff members.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.
- 10+ years of experience in data architecture, database design, and data management.
- Expert in AWS Databricks
- Expert in SQL & relational database systems (PostgreSQL preferred)
- Proficient knowledge in working with distributed data processing frameworks like Apache Spark.
- Handson experience in Python and Pandas
- Experience in overall architecture of big data systems within AWS
- Experience in Global Companies a great advantage.
- Extensive experience with designing data engineering solutions to manage data streams in complex, distributed and parallel systems.
- Excellent analytical and problemsolving skills. Ability to collaborate with and analyze source systems to drive data profiling/cataloging. Can present clear insights to colleagues to support the end use of the data.
- Extensive experience with data engineering pipelines, frameworks to mine, cleanse and explore data.
- Strong problem management. Initiating and monitoring actions to investigate patterns and trends to resolve problems. Determining preventative measures.
- Evaluating forms and processes for database architecture testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
- Excellent written and verbal communication skills; mastery in English and local language.
- Frequently contributes to the development of new ideas and methods.
- Works on complex problems where analysis of situations or data requires an indepth evaluation of multiple factors.
- Acts as an expert providing direction and guidance to process improvements and establishing policies.
- Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives.
- Provide mentoring and guidance to lower level employees.
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