Sr. Data Engineer

MUST HAVE:

• ETL (snaplogic or Informatica), Relational databases (Oracle, PostgreSQL, etc.), NoSQL databases (DynamoDB, Elastic search), python, AWS, kafka.

Skills required:

• Bachelor’s or Master’s degree in a technology related field (e.g., Computer Engineering, Computer Science, etc.)
• Proven track record as a data engineer, crafting new solutions and re-platforming legacy data products
• Knowledge of how to effectively use multiple types of databases such Relational databases (Oracle, PostgreSQL, etc.), NoSQL databases (DynamoDB, Elastic search) and Graph databases (Neptune, Neo4J, etc.)
• Hand on experience in data pipelines and ETL/ELT process on AWS using Python, Java, etc.
• Demonstrated ability to synthesize and analyze data from multiple sources and deriving insights from it
• Demonstrated experience developing, debugging and tuning complex SQL statements
• Experience in Kafka Data Streaming (or other streaming/messaging services Kinesis, SNS, SQS)
• Experience with DevOps or CI/CD Pipelines using Git, Maven, Jenkins, uDeploy, Stash, Ansible, etc.
• Ability to validate, monitor, and solve issues during development, testing, or in production.
• Proven knowledge of AWS via Associate, Professional, or Specialty Certification(s) a big plus.
• Knowledge on RestfulAPI development and container processing is a plus.
• Excellent communication skills, both through written and verbal channels.
• Ability to work effectively in global teams distributed across geographic locations in an Agile way.
• Excellent facilitation, influencing and negotiation skills.
• Desire and ability to learn and implement new technologies.
• Keen ability to see complex challenges from multiple perspectives, and leaning in to solve independently or with others.