Big Data Engineering Lead
6 days ago
LexisNexis Intellectual Property Solutions is seeking a highly skilled Big Data Engineering Lead to join our team. As a key member of our Data Platform team, you will be responsible for designing and implementing advanced data engineering solutions to drive business growth and innovation.
Key Responsibilities:- Architect and lead the development of our patent data ingestion pipeline using Databricks, Python, and PySpark.
- Mentor and guide a team of data engineers, fostering a collaborative environment that encourages growth and innovation.
- Ensure the pipeline is efficient, scalable, and robust, capable of handling terabytes of data with low latency.
- Contribute to the overall data engineering strategy and drive the adoption of best practices in coding, architecture, and deployment.
- Identify and resolve technical challenges, ensuring the smooth operation of the data ingestion pipeline.
- Demonstrate expertise in Python and PySpark, essential for leading the team.
- Ability to design and implement scalable data architectures for both batch and streaming data processing.
- Proficiency in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management.
- Knowledge of data governance practices, including data quality management, metadata management, and data lineage.
- Proven experience in leading and mentoring technical data engineering teams.
- A competitive salary and benefits package.
- A dynamic and supportive work environment.
- Opportunities for professional growth and development.
- A comprehensive employee assistance program.
- Access to a range of employee discounts and perks.
We are an equal opportunities employer and welcome applications from diverse candidates. If you are a motivated and experienced data engineering professional looking for a new challenge, please submit your application.
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