Overview
On Site
Contract - W2
Skills
Data warehouse
Root cause analysis
Data warehouse architecture
google cloud platform
Incident management
Extract
transform
load
Data governance
Continuous improvement
Knowledge sharing
Computer science
Information systems
Data engineering
Problem solving
Big data
Data
IMPACT
Operations
SQL
Slack
Regulatory Compliance
Policies
Communication
FOCUS
Cloud computing
Amazon Web Services
Microsoft Azure
Apache Hadoop
Apache Spark
Job Details
As a Data Engineer on the Data Incident Management team, you will be at the forefront of identifying, diagnosing, and resolving data-related issues that impact our operations.
Your role involves working closely with other engineering teams to ensure data accuracy, availability, and security across our platforms.
With your deep understanding of data warehouse technologies, ETL processes, and SQL, you'll not only solve problems but also implement improvements to prevent future incidents.
Your role involves working closely with other engineering teams to ensure data accuracy, availability, and security across our platforms.
With your deep understanding of data warehouse technologies, ETL processes, and SQL, you'll not only solve problems but also implement improvements to prevent future incidents.
Key Responsibilities:
Actively monitor slack channels for issues, performing root cause analysis to diagnose problems and implement effective solutions.
Work collaboratively with cross-functional engineering teams to resolve data incidents rapidly and improve data handling practices.
Be proactive in identifying potential data issues before they escalate, suggesting preventive measures and improvements.
Ensure compliance with data governance and security policies throughout incident resolution processes.
Document incidents, resolutions, and learnings to foster a culture of continuous improvement and knowledge sharing.
Summarize the incident understanding for easier consumption of senior stakeholders
Work collaboratively with cross-functional engineering teams to resolve data incidents rapidly and improve data handling practices.
Be proactive in identifying potential data issues before they escalate, suggesting preventive measures and improvements.
Ensure compliance with data governance and security policies throughout incident resolution processes.
Document incidents, resolutions, and learnings to foster a culture of continuous improvement and knowledge sharing.
Summarize the incident understanding for easier consumption of senior stakeholders
Requirements:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Proven experience in data engineering, particularly in an incident management or similar role.
Strong foundational knowledge of data warehouse architecture, ETL processes, and SQL.
Excellent problem-solving skills and the ability to work under pressure in an ambiguous environment.
Exceptional communication skills, with a proven track record of working effectively with technical and non-technical teams.
A proactive approach to identifying and resolving data issues, with a focus on long-term system health.
Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform) and big data technologies (e.g., Hadoop, Spark) is highly desirable.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Proven experience in data engineering, particularly in an incident management or similar role.
Strong foundational knowledge of data warehouse architecture, ETL processes, and SQL.
Excellent problem-solving skills and the ability to work under pressure in an ambiguous environment.
Exceptional communication skills, with a proven track record of working effectively with technical and non-technical teams.
A proactive approach to identifying and resolving data issues, with a focus on long-term system health.
Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform) and big data technologies (e.g., Hadoop, Spark) is highly desirable.