About Level AI :

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth.

What you will do :

- Design and implement analytical platforms that provide insightful dashboards to customers.

- Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access.

- Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness.

- Ensure the architectural design is extensible and scalable to adapt to future needs.

What we are looking for :

- 3+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design.

- B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company.

- Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues.

- Proven experience in building high-scale data platforms.

- Strong expertise in data warehouse schema design (star schema, fact tables, dimensions).

- Experience with data movement, transformation, and integration tools for data propagation across systems.

Tech Stack :

- Data Warehousing : Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse Analytics.

- ETL/ELT : Apache NiFi, Apache Airflow, Informatica, Talend, dbt.

- Programming : Python or Java.

- Integration : Apache Kafka, Apache Spark, AWS Glue, Fivetran, Stitch.

Nice to have :

- Experience with Google Cloud, Django, Postgres, Celery, Redis, and AI Infrastructure.