Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Senior Data Engineer designing complex data systems for Opea, focusing on cloud and big data technologies. Leading a team and optimizing data processing solutions.
Responsibilities
- Design and implement complex, scalable data systems using technologies such as cloud computing, big data, streaming, machine learning and AI, defining strategies for data storage, processing and analysis. Incorporate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and vector databases for intelligent data processing.
- Lead and inspire the data engineering team by sharing knowledge, defining standards and best practices, and fostering the team's technical growth.
- Identify and resolve complex problems related to data systems, architecture, performance and scalability, using monitoring tools, log analysis and code debugging.
- Create and implement innovative solutions to optimize data systems, leveraging emerging technologies such as machine learning, data lakes, real-time data streaming and big data analytics.
- Communicate technical solutions clearly and concisely to stakeholders, managers, developers and other teams, influencing strategic decisions and helping align the data strategy with company objectives.
Requirements
- Deep proficiency in Python and data processing tools such as Apache Spark, Kafka, Flink or equivalents.
- Knowledge of LLMs, fine-tuning AI models and using RAG to improve search and information retrieval. Proficiency with Amazon Bedrock and/or Azure OpenAI services.
- Experience with data system architecture, big data (Hadoop, Hive, HBase), streaming (Kafka, Kinesis) and databases (SQL, NoSQL).
- Advanced knowledge of data modeling, data processing and data visualization tools such as SQL, NoSQL, Tableau, Power BI, etc.
- Advanced experience building Data Lakes and Data Warehouses using tools like AWS Athena, Amazon Redshift, Amazon S3, AWS Glue, Airbyte, dbt and PostgreSQL.
- Deep understanding of machine learning concepts and applying ML techniques within data systems.
- Bachelor's degree in Computer Science, Statistics, Mathematics or a related field.
- Technical English for reading, writing and professional communication.
Benefits
- Health and Dental plan
- Meal and Food vouchers
- Transportation voucher
- TotalPass
- Life Insurance
- Childcare/Babysitter assistance
Job title
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Experience level
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Tech skills
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