Senior Data Engineer

SS&C Technologies • MO

93d

About The Position

We are seeking a skilled Data Engineer to join our team, focusing on designing, building, and maintaining data infrastructure to support business decision-making. This role emphasizes data engineering expertise while incorporating elements of data analysis, leveraging tools like GitHub, Kubernetes, and Grafana to ensure high-quality, accessible data for stakeholders.

Requirements

• Strong proficiency in SQL and Python for data processing and transformation.
• Experience with data engineering tools such as Airflow or similar.
• Proficiency in using GitHub for version control, code collaboration, and managing data repositories.
• Hands-on experience with Kubernetes for deploying and managing containerized data applications.
• Proficiency in Grafana for creating and managing dashboards to monitor data systems.
• Knowledge of data architecture principles, including data modeling and ETL processes.
• Strong problem-solving skills to optimize data processes.
• Effective communication skills to collaborate with technical and non-technical stakeholders.
• Understanding of data analysis techniques to support business reporting.

Nice To Haves

• Experience with visualization tools like Grafana to assist in data delivery.
• Familiarity with data querying to support analytical workflows.

Responsibilities

• Design, develop, and maintain data infrastructure to collect, store, and process data from various sources.
• Transform raw data into reliable, high-quality, and accessible formats for use by business stakeholders.
• Use GitHub for version control, collaboration, and documentation of data scripts and infrastructure code.
• Collaborate with cross-functional teams, including business stakeholders, to understand data requirements and deliver tailored solutions.
• Perform data extraction and transformation using tools like SQL or Python to support analytical needs.
• Develop and maintain documentation for data processes in GitHub repositories to ensure reproducibility.
• Support the creation of reports and dashboards by ensuring data is structured and accessible for visualization tools like Tableau, Power BI, or Grafana.
• Deploy and manage data workflows in Kubernetes clusters to ensure reliability and fault tolerance.
• Utilize Grafana to create and manage monitoring dashboards for data system performance.

Benefits

• Health insurance
• Dental insurance
• 401k plan
• Tuition reimbursement
• Professional development reimbursement plan

What This Job Offers

• Job Type: Full-time
• Number of Employees: 5,001-10,000 employees