Big Data Engineer
Core
Designing and engineering enterprise data solutions, including coding data ingestion pipelines, transformations, and delivery logic to support operational and analytic needs.
Role type
Senior Big Data Engineer
Builds
Scalable data ingestion, transformation, and delivery frameworks across traditional data warehouses, Big Data solutions, and cloud-oriented platforms.
Domain
Healthcare / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Data Warehousing, Python, Linux shell scripting, Cloud platforms (GCP/AWS/Azure), Spark, NoSQL, Kafka, Teradata, Oracle, Informatica, Data Cleansing, Metadata Management, MLOps
Preferred skills
Healthcare Industry experience, Database Administration, Master's Degree in CS/SE/Data Science
Technologies
Google Cloud Platform, Hadoop, Hive, NoSQL, Kafka, Spark, Python, Linux, SAS, Teradata, Oracle, Informatica
Responsibilities
Design, build, and maintain well-engineered data solutions in various environments; code, test, and implement scalable frameworks for data engineering services; align with security and data governance programs; maintain MLOps processes; assist with establishing standards for data ingestion and transformation.
Seniority
Senior, hands-on IC with mentorship of junior contributors
