Job Description :
Pay Range : $58.02hr - $63.02hr
Responsibilities :
- Provides technical guidance related to data architecture, data models, and metadata management to senior IT and business leaders.
- Defines and implements data flows through and around digital products.
- Participates in data modeling and testing.
- Extracts relevant data to solve analytical problems; ensures development teams have the required data.
- Interacts with the business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT.
- Works closely with database teams on topics related to data requirements, cleanliness, accuracy, etc.
- Tracks analytics impact on business.
- Monitors market watch.
- Develops sustainable data-driven solutions with current new-gen data technologies to meet the needs of the organization and business customers.
- Builds data pipeline frameworks to automate high-volume and real-time data delivery for Hadoop and streaming data hub.
- Builds robust systems with an eye on the long-term maintenance and support of the application.
- Builds data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers, and partners.
- Transforms complex analytical models into scalable, production-ready solutions.
- Continuously integrates and ships code into our own premises and cloud production environments.
- Develops applications from the ground up using a modern technology stack such as Scala, Spark, Postgres, AngularJS, and NoSQL.
- Works directly with Product Managers and customers to deliver data products in a collaborative and agile environment.
Education and Experience :
Bachelor's or Master's degree in Computer Science, Engineering, Bioinformatics, or related field.5+ years of experience in data engineering.Prefer prior experience working with regulated healthcare data (e.g., HIPAA, FDA 21 CFR Part 11).Core Technical Skills :
ETL Development : Proficiency in building robust pipelines.Data Modeling : Strong knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) data models, especially clinical or device data schemas (FHIR, HL7, OMOP).Cloud Platforms : Experience with HIPAA-compliant cloud services.Programming : Strong Python and SQL skills; Spark or Scala is a plus.APIs & Integration : RESTful APIs, HL7 / FHIR data ingestion, integration with EHRs and medical devices.Experience in Python, Flink, Kafka, Spark, AWS Glue, AWS EMR, AWS S3, AWS Lambda.AWS ECS, Terraform.