Job Description
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
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.
Key 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.
Required Skills and Qualifications:
- 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.
Preferred Qualifications:
- Experience with visualization tools like Grafana to assist in data delivery.
- Familiarity with data querying to support analytical workflows.
- This role prioritizes data engineering to build and maintain data infrastructure using GitHub, Kubernetes, and Grafana, while supporting analytical tasks to deliver impactful business insights.
If you are passionate about creating efficient data systems and enabling data-driven decisions, we encourage you to apply!
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
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.
Key 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.
Required Skills and Qualifications:
- 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.
Preferred Qualifications:
- Experience with visualization tools like Grafana to assist in data delivery.
- Familiarity with data querying to support analytical workflows.
- This role prioritizes data engineering to build and maintain data infrastructure using GitHub, Kubernetes, and Grafana, while supporting analytical tasks to deliver impactful business insights.
If you are passionate about creating efficient data systems and enabling data-driven decisions, we encourage you to apply!
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
About SS&C
SS&C is a leading global provider of mission-critical, cloud-based software and solutions for the financial and healthcare industries. Named to the Fortune 1000 list as a top U.S. company based on revenue, SS&C (NASDAQ: SSNC) is a trusted provider to more than 20,000 financial services and healthcare companies, with over 25,000 employees and operations in more than 40 countries. Built upon a foundation of expertise, innovation and excellent customer service, SS&C powers some of the largest financial and healthcare firms in the world.
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