Data Engineer

BS/BA degree or equivalent experience General: Strong organizational, problem-solving, and critical thinking skills; Strong documentation skills Coding: Proficiency in Python or Java Cluster Computing frameworks: Proficiency in Spark AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge Data De/Serialization: Expertise in atleast 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD DevOps: Linux Scripting, Jenkins, Git, CI/CD, JIRA, TDD AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager