We are looking for a skilled Data Engineer to contribute to our data engineering efforts. If you are passionate about problem-solving, process optimization, and leveraging data to make meaningful improvements, we would love to connect with you. The ideal candidate is a self-motivated professional who thrives in a fast-paced, agile environment, enjoys teamwork, and is dedicated to delivering high-quality, innovative solutions.
Key Responsibilities
- Data Analysis & Modeling. Analyze large and complex datasets, build data models, and contribute to data architecture strategies.
- Pipeline Development & Optimization. Design, develop, and maintain efficient, scalable, and high-performance ETL pipelines to process structured and unstructured data.
- Technical Ownership. Serve as the subject matter expert for specific data assets and ensure their integrity, security, and optimal performance.
- Code Quality & Documentation. Write high-quality, maintainable code and create clear, well-structured documentation to support data processes.
- Collaboration & Stakeholder Engagement. Work closely with data scientists, analysts, and other stakeholders to ensure seamless data integration and support for analytical and machine learning models.
- Continuous Improvement. Identify inefficiencies in data workflows and propose innovative solutions to enhance overall performance and reliability.
Required Qualifications
- Experience. Minimum 2+ years of hands-on experience in software or data engineering.
- Data Modeling & Integration. Strong background in designing and implementing data models, integrating multiple data sources, and processing large datasets.
- Programming Expertise. Proficiency in Python (preferred) or another programming language commonly used in data engineering.
- SQL Mastery. Solid experience writing complex SQL queries familiarity with NoSQL databases is a plus.
- Big Data Technologies. Hands-on experience with Apache Spark and distributed data processing frameworks.
- Communication Skills. Excellent verbal and written communication skills in English and the local language.
- Technical Documentation. Ability to articulate and document product architectures, design choices, and change proposals effectively.
Preferred Qualifications (Nice to Have)
- Databricks Experience. Hands-on experience working with Databricks or a Databricks certification is a plus.
- Pandas Library. Strong familiarity with Pandas for data manipulation and analysis.
- Software Engineering Best Practices. Knowledge of industry-standard data and software engineering lifecycle best practices.
- Agile Methodologies. Experience working in Agile environments with tools like JIRA and GitHub.
Why Join Us?
- Work on impactful projects that drive data-driven decision-making at a global scale.
- Be part of a collaborative, diverse, and innovative team that values creativity and continuous learning.
- Access cutting-edge tools, technologies, and cloud-based platforms to enhance your expertise.
- Enjoy a dynamic work environment where your contributions make a real difference.
If you are ready to take on this exciting challenge and be a key player in a data-driven organization, we encourage you to apply and be part of our journey to shape the future of pricing and analytics at HP!