UST, formerly known as UST Global, is a provider of digital technology and transformation, information technology, and services, headquartered in Aliso Viejo, California, United States. Stephen Ross founded UST in 1998 in Laguna Hills. The company has offices in the Americas, EMEA, APAC, and India.
Strong expertise of building and shipping distributed and highly scalable enterprise software and systems using Python/Go. Expertise in designing, building, and maintaining low-latency APIs.
Strong experience in developing and contributing to products with distributed data mesh, streaming data, microservice architecture with SQL competence and general experience working with data storage and retrieval systems.
Experience with traditional on-prem data stack (Informatica, StreamSets, Spark and Teradata, Greenplum, Netezza, DB2 etc.,) and familiarity with modern data stack (e.g., Airflow, Databricks, ADF, Snowflake, dbt).
Experience in designing, automating, maintaining, and optimizing general observability platforms (logging, metrics, and tracing) and/or data observability platforms (profiling, logging, data quality and lineage) features.
Experience with transactional, caching and document datastores preferably Microsoft SQL Server, Redis, Kafka and optionally with PostgreSQL, Hive, S3/ECS object store, Elasticsearch, Mongo.
Extensive experience with data collection agents, loggers, and visualizing and correlating data sets from multiple domains. Abreast of industry standards and trends related to telemetry and software pipelines.
Experience with on-prem/hybrid computing, microservices architecture, modern DevOps, Test Driven Development and Continuous Integration / Continuous Deployment.
Basic familiarity with defining and building KPI’s, basic ML algorithms and OpenTelemetry.
Experience with testing concepts, test tools, and integrating testing and best practices in the SDLC.
Experience in working in Agile (SCRUM) Methodology and an agile mindset with the ability to advocate for cross-functional collaboration and adapt to changing data and business needs.
Python Developer with strong exp with SQL( In ETL Informatica Space)- Data engineering back ground, A python developer who will get data from different sources and present data to frontend side, He has to create dash boards.Experience with traditional on-prem data stack (Informatica, StreamSets, Spark and Teradata, Greenplum, Netezza, DB2 etc.,) and familiarity with modern data stack (e.g., Airflow, Databricks, ADF, Snowflake, dbt).