The Enterprise Architect, Data and Advanced Analytics is responsible for the creation, maintenance and management of Enterprise Information architecture models and their lower-level components. Provide support to enterprise data infrastructure management and analysts to ensure development of efficie...
Required Keywords:(ANALYTICS) AND (DATA) AND ("AI/ML" OR "ML/AI" OR "ARTIFICIAL INTELLIGENCE") AND (AUTOMATION OR MODEL OR MAPPING OR BUSINESS or COE) AND (DATABRICKS OR "DATA BRICKS") AND (DWC OR "DATA WAREHOUSE" OR LAKEHOUSE OR "WAREHOUSE CLOUD") AND ("SAP CLOUD" OR SAC) AND (AZURE OR ADLS OR ADF ...
Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace. Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud. Experience with integratio...
No T&E will be provided)</b></p> <p> </p> <p><b><u>Description:</u></b></p> <p> </p> <p><b>Recommended Qualifications and Experience:</b> </p> <p style="margin-left:96px">o <b>...
Developing a data pipeline to load the data into Iceberg filesystem from an Oracle db . Big Data data modeling HIVE Iceberg. Developing data pipeline for Big Data platforms. Developing an overall architecture and design for an Apache Iceberg solution . ...
Scan application databases, ingest metadata, discover data domains through automation, and classify them for privacy and security to create entitlements for data consumers. Engineer solutions for data warehousing to ensure that data is stored and re-used with efficiency in data marts, to run data sc...
Creating solution frameworks integrating large or complex data sets. Recommending and creating data and design patterns for common business functionality. ...
Must have: GCP , Python , LLM , ETL , (Google Cloud data products like Big Query, Dataflow, Firestore, Cloud SQL)</p> <p> </p> <p>Job Description :</p> <p> Should understand and be able to command architecture design for transactional and analytics systems. Cloud...
Job Title: Data Integration Solutions Architect. Data Integration Solutions Architect. Strategize and develop data models. Integration processes and transformations to consolidate data from disparate sources. ...
Location: Anywhere in USA ( Need one who can accommodate travel up to 75% on demand basis).Deep SAP Understanding, knowledge of Business process.Previous Hands on exp within multitude of SCM modules.Previous DEMO EXP - a huge PLUS.Great insight and intelligence with customer insight.Need a solid- So...
ANALYTICS) AND (DATA) AND ("AI/ML" OR "ML/AI" OR "ARTIFICIAL INTELLIGENCE" OR AI) AND (AUTOMATION OR MODEL OR MAPPING OR BUSINESS or COE) AND (DATABRICKS OR "DATA BRICKS") AND (DWC OR "DATA WAREHOUSE" OR LAKEHOUSE OR "WAREHOUSE CLOUD" OR CLOUD) AND ("SAP CLOUD" OR SAC) AND (AZURE OR ADLS OR ADF OR S...
We are looking for a talented AI Solutions Architect to design and implement advanced AI-driven solutions for our customers. As an AI Solutions Architect, you will play a pivotal role in bridging the gap between our advanced AI technologies and the business needs of our clients. Lead the design and ...
Data Pros is an IT Outsourcing & Managed Services Provider that specializes in helping small and mid-market companies migrate to The Cloud. Microsoft System Engineer at Bell Works in Holmdel, NJ. ...
Working closely with data engineers and data scientists to implement data solutions that meet business requirements, to help client with their cloud migration journey. Role: Data Engineer with Databricks. Collaborating with data engineers to ensure data quality and integrity. Responsible for designi...
Digital Practice Director/Enterprise Architect. Approach the solution as an Enterprise Architect. Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. ...
Birlasoft is seeking an Azure Data Architect with extensive experience in Azure Databricks, Azure Data Factory (ADF), Azure Synapse, PySpark, and SQL. Title: Azure Data Architect ( Onsite Hybrid Model ). Experience: 12 to 15 Years , Minimum 5+ Years of experience in Azure Data Architect. Conduct kno...
Transform the future of medical clinic software as a Software Architect with my client. Serve as a full stack developer, delivering high-quality code and scalable software solutions. Drive the evolution of software development practices, focusing on automation and innovation. Contribute to architect...
Consolidation of existing artifacts like Data Models, Metadata, Data Quality Practices, Master & Reference data use cases, Lineage Issues, etc. Job Title : Business Data Analyst. Analyze the data elements within the Data Services. Understand the current data processing and mgmt. ...
Support the integration of new data sources and analyze and confirm the overall quality and integrity of source data. Minimum 7 years of experience with large SQL data marts. Must be able to quickly understand data sets and help provide insights. Experience in SQL (SQL queries), Tableau, and Data Br...
The Technical Solutions Architect's primary focus is to lead the client and to collaborate with the Technical Architecture team in determining best practices and efficient processes. The Technical Solutions Architect exists to provide expertise for clients in performing technical business process ma...
Role: Data Engineer with Snaplogic (Onsite/Hybrid model). Must Have :8+ years of IT experience with 5+ years of experience in Data Engineering. Should have hands on experience in using various snaps available in Snaplogic like REST Snaps, Transform Snaps, Database Snaps, Script snap etc. ...
SHI is looking for an Anaplan Solutions Architect & Model Builder to join our growing Finance team. We've grown every year since, and today we're proud to be a $14 billion global provider of IT solutions and services. Design, develop, test, and implement Anaplan solutions. Review, assess, and tr...
Line of Business:Technology SolutionsJob Description:Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other spe...
Handle diverse data inputs and transform them into valuable insights, demonstrating strong data organization and cleansing skills, ensuring that data is presented in a format that is clear and accessible to team members. Knowledge in Programming Languages (SQL, Python) for querying and manipulating ...