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- Work with ETL, data warehousing and graph database software to store and organize Graph data
- Secure and timely delivery of Graph data / use case results to consuming applications and user communities
- Ensure that databases meet user requirements.
- Develop archiving procedures for old and expired transactions / data
- Participate in sprint planning sessions and help TPOs
- 10+ years of strong Graph database (Neo4j) experience and its query language (Cypher)
- Should be able to demonstrate graph data loads pipelines from Hadoop
- Proven skills on Python, PyArrow and Spark/Scala
- Hands on experience on SQL/In-memory databases and automation of ETL
- Strong knowledge on Hadoop, Neo4j and PyArrow technologies
- Strong development experience on Hadoop file formats and organizing warehouse data
- Strong exposure to Graph nodes/edges and relations
- Strong experience on DevOps pipeline implementation
- Healthcare domain knowledge is plus
- Good Understanding of spark/Hadoop eco system including YARN responsibilities
- Should have great debugging skills on Hadoop spark/graph
- Excellent thinker with exceptional problem solving skills
- Should have strong communication and interpersonal skills
- Good exposure to Agile development process
- Excellent query optimization skills and provide inputs of required keys for better performance improvement.