Job Description

Job Summary:

We are seeking a skilled and proactive Data Engineer to join our team. The ideal candidate will have strong coding abilities, hands-on experience with data warehousing concepts, and a solid foundation in DevOps practices. This role requires flexibility to work in shifts and a collaborative mindset to support data-driven initiatives across the organization.

Must-Have Skills:

Proficient in

Python

programming Experience with

Git

for version control Strong understanding of

DevOps

principles Advanced

SQL

skills Solid grasp of

Data Warehousing (DWH)

concepts with hands-on experience Willingness to work in

shift-based schedules

Good-to-Have Skills:

Experience with

Snowflake

Familiarity with

Power BI

or

Looker

for data visualization

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:

5-8 yrs of experience