Data Engineer- Specialist- Financial Services
Core
Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions to support healthcare experience products.
Role type
Senior Data Engineer
Builds
Scalable, reliable, and high-performance pipelines for structured and unstructured data
Domain
Healthcare / Big Data Engineering
Deliverable
production ML models
Required skills
ETL/ELT design, Big data technologies (Spark, Hadoop, Kafka, Flink), Cloud platforms (Azure, AWS, GCP), Python, Java, SQL, Data modeling, Workflow orchestration (Airflow, Data Factory), Version control (Git), CI/CD
Preferred skills
Data partitioning strategies, API development, Test management basics
Technologies
Spark, Hadoop, Kafka, Flink, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Synapse, Airflow, Data Factory, Git
Responsibilities
Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions; Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data; Work with big data technologies and distributed systems to process and transform large datasets; Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage; Partner with data scientists and analysts to deliver clean, well-structured, and accessible data; Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems; Automate provisioning, deployments, and environment management for data platforms; Create and support APIs and data services for internal and external consumers
Seniority
Senior, hands-on IC
