Senior Application Support Engineer

Summary

Join YipitData as a Senior Data Platform Engineer and play a pivotal role in deploying mission-critical data pipelines and internal data tools. You will build interactive tools to analyze data, scale data operations using a cutting-edge tech stack, and optimize our data platform. This hybrid role combines data engineering with full-stack development, encompassing data modeling, ETL, and application development. You will work with sophisticated data pipelines and contribute meaningfully to our newest product, Signals. This fully remote position based in India offers a competitive salary and comprehensive benefits.

Requirements

• Have 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements
• Thrive in a fast-paced, evolving environment and can efficiently navigate multiple technologies and production services to troubleshoot and resolve issues
• Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows
• Possess strong communication skills, responsiveness, attention to detail, a team-oriented mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders
• Show a track record of excellent problem-solving and debugging abilities, maintaining reliable codebases, and architecting efficient data processes
• Are proficient in Python, Spark, Docker, AWS, and database technologies

Responsibilities

• Own and maintain core data pipelines that power strategic internal and external analytics products
• Build lightweight data applications and tools on top of these pipelines using Python to streamline data refinement, transformation, and processing workflows
• Drive reliability, efficiency, and performance improvements across the data platform
• Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs
• Partner with analysts, product teams, and engineering stakeholders to understand data requirements and translate them into scalable solutions
• Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency
• Work with a modern tech stack that includes: Python, Databricks (Spark), Pandas, Plotly Dash, AWS, Github, and Docker

Preferred Qualifications

Experience with Pandas, Plotly Dash, Databricks, or REST APIs

Benefits

• Vacation time
• Parental leave
• Team events
• Learning reimbursement