
11 - 50 employees
☁️ SaaS
SaaS • Cloud Services • Software Development
Webtellect, LLC is a modern software design and development company with a professional team offering deep technical and design expertise. The company provides services in support of Microsoft's platforms and technologies, building responsive Line of Business applications, interactive games, and immersive experiences. Webtellect specializes in mobile applications that enable enterprises to extend their functionality beyond their own networks, as well as cloud services including SaaS, PaaS, and Machine Learning. They are dedicated to providing the right resource with the right background and communication skills at the right time to meet client needs.
🕒 April 1
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11 - 50 employees
☁️ SaaS
SaaS • Cloud Services • Software Development
Webtellect, LLC is a modern software design and development company with a professional team offering deep technical and design expertise. The company provides services in support of Microsoft's platforms and technologies, building responsive Line of Business applications, interactive games, and immersive experiences. Webtellect specializes in mobile applications that enable enterprises to extend their functionality beyond their own networks, as well as cloud services including SaaS, PaaS, and Machine Learning. They are dedicated to providing the right resource with the right background and communication skills at the right time to meet client needs.
• To design, development, and enhancement of our AWS data environment.
• Experience setting up AWS Data Platform – AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR and Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances. • Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors. • Must have a background in data engineering – Data Warehouse Development experience would be perfect • Must have strong skills in SQL, Python, PySpark, and AWS • Experience in designing, developing, optimizing and troubleshooting complex Data Pipelines using Spark cluster • Ability to lead proofs-of-concepts and then effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization. • Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems.
Apply Now🕒 April 1
Enterprise Data Architect at Kynite developing database solutions and improving system performance. Involves data migration, analysis, and operational support for information systems.
🕒 April 1
Data Engineer developing and deploying data pipelines utilizing Azure Databricks and Spark technologies. Collaborating for performance tuning and implementing business logic in data processing workflows.
Apache
Azure
Java
Kafka
NoSQL
Python
Scala
Spark
SQL
🕒 April 1
SAP Functional Consultant with expertise in Data Migration for global SAP team. Leading end-to-end migration activities and ensuring data integrity for high-quality project delivery.
🕒 March 31
Data Engineer at Cloudacio developing and optimizing data pipelines with AWS, Azure, or GCP. Collaborating with teams to implement big data solutions in a remote setting.
Airflow
AWS
Azure
Cassandra
Cloud
DynamoDB
ETL
Google Cloud Platform
Hadoop
MongoDB
NoSQL
Python
Spark
SQL
🕒 March 31
Data Engineer specializing in compliance technology (AML, CDD) for Manufacturers Bank. Requires expertise in cloud platforms and data operations.
Azure
Cloud
ETL
Google Cloud Platform