Senior Data Engineer

9 Minutes ago • All levels
Data Analysis

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 include designing and maintaining data infrastructure, transforming raw data, using GitHub for version control, collaborating with teams, performing data extraction with SQL/Python, and deploying workflows in Kubernetes.
Good To Have:
  • Experience with visualization tools like Grafana to assist in data delivery.
  • Familiarity with data querying to support analytical workflows.
Must Have:
  • Design, develop, and maintain data infrastructure.
  • Transform raw data into reliable, high-quality, and accessible formats.
  • Use GitHub for version control, collaboration, and documentation.
  • Collaborate with cross-functional teams to understand data requirements.
  • Perform data extraction and transformation using SQL or Python.
  • Develop and maintain documentation for data processes in GitHub.
  • Support creation of reports and dashboards for visualization tools.
  • Deploy and manage data workflows in Kubernetes clusters.
  • Utilize Grafana to create and manage monitoring dashboards.
  • Strong proficiency in SQL and Python for data processing.
  • Experience with data engineering tools such as Airflow.
  • Proficiency in using GitHub for version control and code collaboration.
  • Hands-on experience with Kubernetes for deploying data applications.
  • Proficiency in Grafana for creating and managing dashboards.
  • Knowledge of data architecture principles, data modeling, and ETL processes.
  • Strong problem-solving skills to optimize data processes.
  • Effective communication skills for technical and non-technical stakeholders.
  • Understanding of data analysis techniques to support business reporting.
Perks:
  • Health insurance
  • Dental insurance
  • 401k plan
  • Tuition reimbursement plan
  • Professional development reimbursement plan

Add these skills to join the top 1% applicants for this job

team-management
cross-functional
communication
data-analytics
github
talent-acquisition
game-texts
grafana
power-bi
tableau
kubernetes
python
sql

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.

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.

Set alerts for more jobs like Senior Data Engineer
Set alerts for new jobs by SSC Technologies
Set alerts for new Data Analysis jobs in United States
Set alerts for new jobs in United States
Set alerts for Data Analysis (Remote) jobs

Contact Us
hello@outscal.com
Made in INDIA 💛💙