Analyst – Data Engineer

As a Data Engineer, you’ll play a pivotal role in transforming data science solutions for the Rare Disease Unit, collaborating with the Data Science and Advanced Analytics team to build data science capabilities that meet commercial needs.

Requirements

• BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economics)
• 4+ years of work experience with DB skills like Python, SQL, Snowflake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata
• Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services
• Experience in building ETL pipeline and data integration
• Good written and verbal skills to communicate complex methods and results to diverse audiences; willing to work in a cross-cultural environment
• Analytical mind with problem-solving inclination; proficiency in data manipulation, cleansing, and interpretation
• Experience in support and maintenance projects, including ticket handling and process improvement
• Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation)
• Importance of Scalability and Performance (handling large data volumes with optimized processing capabilities)
• Experience with Git

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance