Senior Data Engineer

Bachelor of Science degree in Data Science, Computer Science, Information Technology or a closely related technical field 5 years of data engineering experience Modern database technologies Modern programming languages such as Python or Java SDLC experience in an Agile environment APIs, CI/CD, Big Data, data architecture and governance Cloud technologies and platforms such as GCP, Docker, Kubernetes, AWS, Snowflake, and Azure Transforming data using SQL and communicating info through data visualization and reporting Loading (FCS) flow cytometry standard data File formats like CSV, Parquet, and Json Ingesting and engineering with large and complex healthcare datasets Gathering requirements from business and end users and develop technical design of new systems Jenkins, GitHub, Jira, and Big Data technologies such as Spark or similar technology Using IDEs such as PyCharm, Eclipse, JBoss, and IntelliJ Relational database experience

Design, build and execute data pipelines Build the configurable ETL framework Use engineering best practices following an Agile methodology Analyze and profile data to construct best in class data models Optimize SQL queries to maximize system performance Provide guidance and support to junior developers Troubleshoot bugs and data quality issues Collaborate with departments across the organization Elicit and document technical requirements Utilize agile project management software Oversee and execute CI/CD pipeline