Senior Data Analytics Engineer

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Requirements:

• 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements.
• Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows
• 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.