Data Quality Engineer
Join our team as a Data Quality Engineer to unlock the power of data. You'll be instrumental in transforming raw data into actionable insights by designing and implementing efficient data pipelines
Location: On-site at our R&D office in Ruoholahti, Helsinki, Finland
This is a full time consultant position. The consultant shall be employed by Huawei's supplier.
Key Responsibilities:
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Data Extraction and Ingestion:
- Develop efficient data pipelines
- Ensure data quality and completeness during the ingestion process.
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Data Cleaning and Preprocessing:
- Cleanse, transform, and enrich data to eliminate errors, inconsistencies, and missing values.
- Standardize data formats and structures to facilitate analysis.
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Data Annotation and Labeling:
- Annotate and label data for machine learning and AI projects.
- Develop and maintain annotation guidelines and quality control procedures.
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Data Quality Assurance:
- Implement robust quality checks and monitoring to maintain data integrity.
- Identify and resolve data quality issues proactively.
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Data Analysis and Exploration:
- Conduct exploratory data analysis to uncover patterns, trends, and anomalies.
- Visualize data to communicate insights effectively.
- Develop browser plugin, and visualization tool for internal users.
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Big Data Processing:
- Work with big data technologies (e.g., Hadoop, Spark) to process large datasets efficiently.
- Optimize data pipelines for performance and scalability.
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Natural Language Processing:
- Apply NLP techniques to extract insights from textual data.
- Develop language models and text analysis tools.
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Data Collaboration:
- Collaborate with data scientists, analysts, and domain experts to understand their data needs.
- Communicate data insights effectively to stakeholders.
Required Skills and Experience:
- Strong proficiency in Python programming language.
- Knowledge of big data technologies
- Familiarity with data engineering tools and frameworks.
- Understanding of machine learning and AI concepts.
- Experience with natural language processing techniques.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
Why Join Us?
- Learn from Experts: Collaborate with top researchers and engineers.
- Publish and Patent: Contribute to groundbreaking research and innovation.
- Real-World Impact: Make a difference for millions of users.
- Unique Experience: Work in a dynamic and international environment.
- Professional Growth: Develop your skills and advance your career.
- Department
- Cloud R&D
- Locations
- Huawei Helsinki R&D Center
Huawei Helsinki R&D Center
We offer a career in a forward-looking industrial research team, with a solid track record in both innovation and publication as well as delivering its result as factual contributions to on-the market devices.
Many of us are privileged to have security features designed by us in daily use in 100s of millions of customer devices world-wide. Huawei offers opportunity to learn from the best of mobile industry.
Are you ready for the challenge? Join us to explore the happiest country in the world!
About Huawei Finland R&D
Here are a few reasons you should consider joining our Cloud R&D Team
- Cutting-Edge Innovation: we pride ourselves on pushing boundaries and embracing the unknown. As a member of our team, you will have the chance to be at the forefront of technological advancements and contribute to groundbreaking solutions that will shape the future.
- Collaboration and Growth: We believe in the power of collaboration and the strength derived from diverse perspectives. By joining our team, you will be surrounded by passionate professionals who are eager to share their knowledge and support your growth and development.
- Impactful Work: every project we undertake has a purpose. We are dedicated to making a positive impact on society, and you will have the opportunity to work on projects that will leave a lasting imprint on the world.
- Work-Life Balance: We understand the importance of maintaining a healthy work-life balance and sense of belonging. Our supportive HR team ensures that you can excel both professionally and personally.
Data Quality Engineer
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