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We are seeking a Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on graph databases and ETL/ELT processes. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining data pipelines that support our data-driven initiatives. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and optimized for analysis.
Key Responsibilities:
- Design and develop scalable data pipelines using ETL and ELT methodologies.
- Work with Neo4j and other graph databases to model and manage complex data relationships.
- Write and optimize Cypher queries for data retrieval and manipulation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Monitor and troubleshoot data pipeline performance, ensuring data quality and integrity.
- Stay updated with the latest trends and technologies in data engineering and graph databases.
Required Skills:
- Proven experience in data engineering with a strong understanding of ETL and ELT processes.
- Proficiency in Neo4j and graph databases, including experience with Cypher query language.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
- Familiarity with data warehousing concepts and tools is a plus.
If you are passionate about data engineering and want to work in a fast-paced environment, we encourage you to apply for this exciting opportunity.
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