LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale, and agility required by the enterprise. Our global expertise spans over 145 countries and more than 1,000 language locales. Founded in 2010, LXT is headquartered in Toronto, Canada with a presence in the United States, UK, Egypt, India, Turkey, and Australia. The company serves customers in North America, Europe, Asia Pacific, and the Middle East.
We are currently seeking a talented and motivated Data Engineer to join our dynamic Data Engineering team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines for our data annotation projects, ensuring efficient data import and export processes. LXT technical calibers are expected to have a high level of ownership, and to be Hands-On engineers that take over the tasks until it passes the finish line.
Responsibilities:
- Data Transformation and Integration: Perform data transformation and integration tasks to ensure data from various sources are accurately processed and made ready for annotation projects and for delivery to clients per client requirements.
- Data Manipulation: Ensuring efficient data storage, retrieval, and optimization to support data annotation workflows.
- Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy, consistency, and integrity of data used in annotation projects.
- Data Pipeline Design and Development: Collaborate with the Data Engineering team to design and implement robust and scalable data pipelines for importing and exporting data used in our data annotation projects.
- Performance Optimization: Identify and address performance bottlenecks in data pipelines to enhance the speed and efficiency of data import and export processes.
- Automation and Process Improvement: Continuously seek opportunities to automate manual processes and improve data annotation workflows for increased productivity.
- Collaboration and Communication: Work closely with cross-functional teams, including data annotation teams, backend developers, and project managers, to understand project requirements and provide timely data support.
- Documentation: Maintain comprehensive documentation of data pipelines, processes, and data structures to facilitate knowledge sharing and seamless project handovers.
- Troubleshooting and Support: Address and resolve data-related issues, providing technical support to data annotation teams when required.
- Stay Updated on Emerging Technologies: Stay abreast of industry trends, tools, and technologies related to data engineering, and propose innovative solutions for data annotation projects.
Qualifications:
- Bachelor’s degree in computer science, Data Engineering, or a related field.
- Proven experience as a Data Engineer, with 1-3 years of hands-on experience in data pipeline design, data transformation, and data integration.
- Proficiency in programming languages such as Python, SQL, or Scala, and experience with data manipulation libraries and frameworks.
- Solid knowledge of data storage and database management systems, including relational and NoSQL databases.
- Familiarity with data visualization tools and techniques to facilitate data understanding and analysis.
- Experience with cloud-based data platforms, such as AWS, GCP, or Azure, is a plus.
- Solid understanding of data quality and data governance principles.
- Knowledge and experience with machine learning projects a big plus.
- Strong problem-solving skills with a keen eye for detail.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
- A passion for data engineering and a desire to contribute to impactful data annotation projects.
Additional information:
LXT is an equal opportunity employer and ensures that no applicant is subject to less favorable treatment on the grounds of gender, gender identity, marital status, race, color, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependents, or physical or mental disability. Any hiring decision is made on the basis of skills, qualifications, and experiences.
We measure our success as a business, not only by delivering great products and services and continually increasing our assets under administration and market share but also by how we positively impact people, society, and the planet.
