Data Quality Specialist

2 weeks ago


Helsinki, Uusimaa, Finland Huawei Full time

Company Overview

Huawei Consumer Business Group is a global leader in the development of cutting-edge technologies. Our mission is to deliver innovative solutions that transform people's lives.

We are committed to advancing technology and sharing its benefits with more people around the world.

Job Description

The successful candidate will be instrumental in designing and implementing efficient data pipelines to unlock the power of data. This role involves transforming raw data into actionable insights by developing and maintaining data engineering tools and frameworks.

Key Responsibilities

  1. Data Extraction and Ingestion
  • Develop efficient data pipelines to ensure seamless data flow.
  • Evaluate data quality and completeness during ingestion to guarantee accuracy.
Data Cleaning and Preprocessing
  • Cleanse, transform, and enrich data to eliminate errors, inconsistencies, and missing values.
  • Standardize data formats and structures to facilitate analysis and visualization.
Data Annotation and Labeling
  • Annotate and label data for machine learning and AI projects to enhance model performance.
  • Develop and maintain annotation guidelines and quality control procedures to ensure consistency.
Data Quality Assurance
  • Implement robust quality checks and monitoring to maintain data integrity and detect anomalies.
  • Identify and resolve data quality issues proactively to prevent errors.
Data Analysis and Exploration
  • Conduct exploratory data analysis to uncover patterns, trends, and correlations.
  • Visualize data to communicate insights effectively and drive business decisions.
Big Data Processing
  • Work with big data technologies (e.g., Hadoop, Spark) to process large datasets efficiently and securely.
  • Optimize data pipelines for performance and scalability to meet growing demands.
Natural Language Processing
  • Apply NLP techniques to extract insights from textual data and enhance language models.
  • Develop text analysis tools to improve communication and collaboration within the team.
Data Collaboration
  • Collaborate with data scientists, analysts, and domain experts to understand their data needs and preferences.
  • Communicate data insights effectively to stakeholders and influence business decisions.

Required Skills and Experience

  • Strong proficiency in Python programming language and relevant libraries.
  • Knowledge of big data technologies and distributed systems.
  • Familiarity with data engineering tools and frameworks, including Apache Beam and Airflow.
  • Understanding of machine learning and AI concepts, including supervised and unsupervised learning.
  • Experience with natural language processing techniques and language models.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.

Benefits

  • Opportunity to learn from top researchers and engineers and contribute to groundbreaking research and innovation.
  • Publish and patent your research to showcase your expertise and achievements.
  • Make a real-world impact on millions of users and customers.
  • Work in a dynamic and international environment with diverse perspectives and ideas.
  • Professional growth and career advancement opportunities to develop your skills and expertise.


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