Data Engineer

JOB Details :

• Bachelor’s or Master’s degree in a technology related field (e.g., Computer Engineering, Computer Science, etc.)
• 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
• 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.)
• Hands-on experience building scalable, resilient, and cost-effective data products (preferably on AWS and Snowflake)
• Hands on experience in programming or scripting using Unix, Python, Java, etc.
• Thorough understanding of Data modeling and data integration patterns
• Experience in developing batch jobs (preferably on AWS event bridge, step function, S3, Lambda, EC2, ECS/EKS, etc.)
• Able to schedule or orchestrate batch process and workflow (Airflow, Argo, cron, etc)
• Demonstrated experience developing, debugging, and tuning complex SQL statements, PL/SQL packages & procedures
• Experience in developing ETL / ELT data pipeline
• Knowledge of Messaging Technologies (Kafka, Kinesis, SNS, SQS)
• Experience with DevOps or CI/CD Pipelines using Maven, Jenkins, AWS CFTs, uDeploy, Stash, Ansible, etc.
• Experience in managing testing, code deployment and release management process
• Ability to validate, monitor, and solve issues during development, testing, or in production
• Ability to work effectively in global teams distributed across geographic locations in an Agile way
• Excellent communication skills, both through written and verbal channels
• Proven knowledge of AWS via Associate, Professional, or Specialty Certification(s) a big plus