Associate Solution Architect - India - Koantek

Description

Company Description

Koantek is an IT services and consulting firm, we operate into Data engineering, data analytics & Machine learning and all, We are having an gold partnership with data bricks, since we are partner with data bricks we internally have a framework that helps support data bricks implementation that various implementation of areas that are covered data pipeline, ingestion , ci cd pipeline, ml mlops, devops, we are pioneered in LLM no one do that as we are the only work who work on LLM which is a new concept.

Our CEO and CTO sit in the US and all the Indian employees are working remotely, we have an office present in

Role Description

This is a full-time remote role as an Associate Solution Architect at Koantek. As an Associate Solution Architect, you will be responsible for collaborating with clients to understand their current technology landscape and strategic goals. Your role will involve identifying and executing solutions to modernize their technology platforms and drive business transformation. You will work closely with cross-functional teams, provide guidance throughout the process, and ensure ethical considerations are made in the development of AI solutions.

Requirements :

• Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• Minimum 8 years experience in Solution Architect Data engineer preferably in the data or cloud field.
• Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
• Knowledge of a programming language - Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following:
• Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow) Spark mandatory using Python Language.
• Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication
• Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)