Data Engineering Lead
2 months ago
Data Engineering Lead
At TopHire, we are seeking a seasoned Data Engineering Lead to design and develop scalable data pipelines for collecting, processing, and storing healthcare data. As a key member of our team, you will be responsible for architecting and implementing robust data management solutions using cutting-edge technologies like Google Cloud Platform, MongoDB, and graph databases.
Main Responsibilities
- Design and build scalable data pipelines for collecting, processing, and storing healthcare data.
- Develop and maintain data models to ensure data consistency and integrity within our databases.
- Administer, optimize, and troubleshoot databases, including PostgreSQL and other data storage solutions.
- Implement real-time data streaming and processing using technologies like Kafka and Apache Beam.
- Collaborate with data scientists, analysts, and business teams to integrate data into analytics and reporting tools.
- Establish and enforce data quality standards, governance, and security measures.
- Implement monitoring and performance tuning strategies to ensure data systems operate efficiently.
- Maintain comprehensive documentation for data pipelines, data models, and system configurations.
- Stay updated on the latest industry trends and best practices in data engineering and cloud technologies.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a Data Engineer or similar role.
- Strong proficiency in Google Cloud Platform (GCP) services, including BigQuery, Cloud Dataflow, Cloud Storage, and Pub/Sub.
- Expertise in MongoDB, graph database systems (e.g., Neo4j), and PostgreSQL.
- Experience with real-time data streaming and processing using Kafka.
- ETL tool proficiency (e.g., Apache NiFi, Talend, or custom solutions).
- Knowledge of data warehousing concepts and solutions.
- Scripting skills in languages such as Python, Java, or Scala.
- Data modeling and SQL expertise.
- Familiarity with ELK (Elasticsearch, Logstash, Kibana) stack for log and event data processing.
- Version control and collaboration using Git.
- Strong understanding of data security, governance, and compliance.
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