Sr Engineer - Data Platform & AI

Sr Engineer – Data Platform & AI

Experience with distributed computing tools like Apache Hudi, Trino, Map Reduce and other big data technologies.
Experience with distributed storage systems like HDFS, S3, etc.
Familiarity with Hadoop, Spark, or other distributed computing systems.
Understanding of data partitioning and sharding techniques.
Knowledge of distributed computing principles and how they apply to large-scale data processing.
Experience writing clean code that performs well at scale using languages such as Java/Kotlin/C#/Go.
Experience in scripting languages such as Python.
Knowledge of relational databases (e.g. Microsoft SQL Server, MySQL).
Solid experience writing RESTful API endpoints.
Absolutely love TDD and have working knowledge of it.
Proficient in GIT.
Experience using system and performance monitoring tools (e.g. New Relic, DataDog).
Proven experience in Data Engineering having expertise with big data, advanced AI integration, and SaaS apps.
Excellent organization, critical-thinking and personal leadership skills
Self-starter with the ability to deliver with minimal supervision.
Being okay with the uncomfortable feeling that comes from learning new things.
Team player.
Analytical mind with problem-solving aptitude.
BSc/BA in Computer Science or a related degree.

Identify, prioritize and execute tasks in the software development life cycle.
Work with business to iterate over software requirements.
Develop tools and applications by producing clean, efficient code.
Automate tasks through appropriate tools and scripting.
Analyze and debug systems.
Perform validation and verification testing in a test-driven manner.
Review the work of others, and invite others to review your work.
Collaborate with internal teams and vendors to fix and improve products.
Ensure software is up-to-date with latest technologies.
Work with distributed computing systems like Apache Hudi and Trino for big data processing.