● Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas
● Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis
● In-depth knowledge of the entire data engineering process (design, development, deployment)
● Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles
● Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code
● Proficient in SQL (SQL Server, Postgres) and Python
● Identify opportunities for process improvement as well as efficiency in solutions
● Teamwork skills with a problem-solving attitude and willing to take a variety of approaches
● Strong experience with legacy data warehouse and ETL pipelines
● Demonstrated ability to mentor junior team members
● Excellent analytical and time management skills, with a proven ability to deliver value independently
● Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders