Description

Key Skills: Python, Spark, PySpark, Databricks, ETL, Data Engineering, Git, CI/CD, Software Engineering, Data Validation

Good to Have Skills: Experience with distributed data platforms, schema management, transformation logic, unit testing, integration testing, monitoring, logging, alerting, operational support processes, code reviews, clean code principles, and troubleshooting production issues.

Roles & Responsibilities:

• Build multiple high-performance, stable, scalable systems that have been successfully shipped to customers in production.
• Drive best practices and set standards for the engineering team.
• Serve as a key influencer in the team's strategy and contribute significantly to team planning.
• Make good judgment trade-offs between immediate and long-term business needs.
• Drive innovation and produce delightful experiences for customers as a result-driven creative thinker.
• Advocate for data-driven decision-making with insatiable curiosity to invent and innovate solutions.
• Take ownership of work and consistently deliver results in a fast-paced environment.
• Make other engineers and team members more productive by sharing knowledge and helping with technical decisions.
• Play a leading role in designing and developing major functional changes to existing software systems.
• Troubleshoot production issues by reviewing source code, logs, operational metrics, and stack traces.
• Provide guidance on design, coding, and operational best practices to the team.
• Propose and create best practices proactively where none exist in the organization.
• Make high-impact decisions driving how and what software gets built for the platform.
• Mentor junior engineers, overseeing their designs, code quality, and integration into the team.

Experience Required: 3-5 years of experience in software engineering or data engineering

Education: Bachelor's degree in Computer Science, Engineering, or related field

Key Skills

Education

Any Graduate