Note: The job is a remote job and is open to candidates in USA. Rush University Medical Center is a leading healthcare institution, and they are seeking a Data Engineer to design and implement data pipelines for cloud projects. The role involves working with complex data sources to transform data into actionable insights for analysts.
Responsibilities
- Responsible for design, development and maintenance of data pipelines to enable data analysis and reporting
- Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data
- Write complex SQL queries or python code to support analytics needs
- Manage projects / processes, working independently with limited supervision
- Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses
- Combines, optimizes, and manages multiple big data sources
- Builds data infrastructure and determines proper data formats to ensure data is ready for use
Skills
- Bachelor's Degree
- 5 years of experience
- Strong background in cloud computing, software engineering and data processing
- Data management experience
- Experience in ETL Tools such as Pentaho, Talend, Informatica, Azure Data Factory, Apache Kafka and Apache Camel
- Experience designing and implementing analysis solutions on Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or Spark based platforms such as Databricks
- Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc
- Strong analytical and problem-solving skills
- Strong verbal and written communication skills
- Proficient programming skills in Python, SQL NoSQL, and Spark
- Ability to manage multiple projects essential
- Ability to work independently or in groups
- Ability to prioritize time
- Ability to adapt to a rapidly changing environment
- Experience, education, licensure(s), specialized certification(s)
- Cloud Certifications in AWS, Azure or GCP
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