Skills:

Programming and Scripting for Data Applications

SQL: Advanced SQL skills for writing complex queries, stored procedures, and optimizing database performance.
Python: Experience in developing data pipelines, integrations, and analytics scripts using Python.
R: Knowledge of statistical analysis and data modeling using R for advanced analytics.
JavaScript: Familiarity with JavaScript for embedding analytics into web applications

Other Tools and Technologies

Data Pipeline Management: Knowledge of Kafka, Airflow, or other tools for managing data flow and scheduling.
Data Governance: Familiarity with tools like Collibra, Reltio, or Alation for metadata management and governance.
Database Management: Proficiency in relational databases (PostgreSQL, SQL Server, MySQL) and NoSQL databases (MongoDB, Cassandra).
Familiarity with GitHub or GitLab for managing repositories and workflows.
Proficiency in tools like Terraform, Ansible, and Kubernetes for deploying and managing infrastructure and containerized applications.

Key Responsibilities:

Infrastructure and Operations: Ensure the reliability and scalability of critical systems by designing and managing robust infrastructure solutions.
System Monitoring: Proactively monitor system health, using performance metrics and automated tools to detect potential issues before they impact users.
Incident Management: Lead response efforts during service disruptions, ensuring swift resolution and minimal downtime.
Problem Solving: Analyze root causes of system failures and implement long-term fixes to enhance system reliability.
Automation: Develop scripts and tools to automate repetitive tasks, improving operational efficiency and reducing manual interventions.
Collaboration: Partner with development teams to align on reliability goals and implement best practices into software design and deployment.
Documentation: Maintain comprehensive system documentation to support consistent and efficient troubleshooting and knowledge sharing.
Continuous Improvement: Drive innovation by identifying areas for enhancement and applying cutting-edge technologies and operational practices.

Qualifications:

Service Reliability: Experience with managing and maintaining highly-available systems, including cloud-based infrastructure.
Programming: Proficiency in programming to automate repetitive tasks ("toil") to reduce manual effort and human error.
Monitoring & Observability: Solid understanding of monitoring tools, incident management platforms, and metrics analysis.
Technical Depth: Deep knowledge of system performance optimization and troubleshooting methodologies. Experience with cloud platforms, databases, CI/CD, distributed systems, and security best practices.
Communication & Collaboration: Strong communication skills (written and verbal) to effectively collaborate across cross-functional teams.
Problem Solving: Ability to thrive in high-pressure situations and demonstrate a calm, methodical approach to problem-solving. Analytical mindset for interpreting data, metrics, and patterns to make informed decisions and predict future issues.
Systemic Thinking: Ability to view interconnected systems holistically anticipating the broader impact of changes and designing for resilience.
Ownership and Proactiveness: Take responsibility for the reliability and performance of services. Proactively identifying potential problems, performance bottlenecks, and areas for improvement before they impact users.

Education & Experience

Education: Bachelor’s or Master’s Degree in Information systems, Computer Science / Computer Engineering or equivalent.
Experience: 6-10yrs of experience

Programming and Scripting (SQL, Python, R, Javascript) SQL / Python developer- Service Reliability Engineer

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