Data Engineering Lead

2 months ago


Mumbai, Maharashtra, India TopHire Full time

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

  1. Design and build scalable data pipelines for collecting, processing, and storing healthcare data.
  2. Develop and maintain data models to ensure data consistency and integrity within our databases.
  3. Administer, optimize, and troubleshoot databases, including PostgreSQL and other data storage solutions.
  4. Implement real-time data streaming and processing using technologies like Kafka and Apache Beam.
  5. Collaborate with data scientists, analysts, and business teams to integrate data into analytics and reporting tools.
  6. Establish and enforce data quality standards, governance, and security measures.
  7. Implement monitoring and performance tuning strategies to ensure data systems operate efficiently.
  8. Maintain comprehensive documentation for data pipelines, data models, and system configurations.
  9. 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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