Key Responsibilities:Leads the organization in developing the overall Data Architecture for the enterpriseSupports the team in data modeling, ETL design, and data governanceDesigns data integration and visualization requirements for projectsRequired Qualifications:Bachelor's Degree in a relevant fie...
In-depth understanding of Data Governance process - identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards. Collaborate with the governance team to develop strategies for MDM including data pr...
A company is looking for a Senior Data Engineer. ...
Are you passionate about transforming financial organizations by uncovering hidden relationships and patterns in billions of data connections? Do you advocate for Graph Database and Analytics tools to solve critical business problems? Do you have experience as an Application Architect or Database Ar...
A company is looking for a Remote Software Architect - Health Data Intelligence. ...
In-depth understanding of Data Governance process - identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards. Collaborate with the governance team to develop strategies for MDM including data pr...
Data Architecture, Business Requirements, Data Modeling, Lucidchart, Erwin, Power BI, Azure, Slowly-Changing Dimensions, Databricks/ Spark, Foreign Keys, Primary Keys, Data Streaming, Kafka, Airflow. Thoroughly understand and document requirements by engaging with Data Engineers, Analysts and Users ...
Job Title: Data Architect (W2 - US Citizen & Green Card Holder Only). Creates high-level architectural specifications, while ensuring feasibility, functionality, and integration with existing systems and platforms. Approves business requirements, estimation, functional specifications, testing strate...
Participate and occasionally lead custom database and data architecture development solutions, AI, business intelligence, and integration with hardware, software, and data layers with database and software solutions. Expert knowledge of RDBMS, Oracle/SQL Server, Data Architecture, DML, DDL, and data...
Gather and understand datarequirements work in the team to achieve high quality dataingestion and build systems that can process the data transform thedata. Role: Data Architect withTelecom domain exp. PySpark framework experience forbuilding data lake (S3/Iceburg) data warehouse (on RedshiftServerl...
Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks. Reviews architectural designs to ensure consistency & alignment with defined target architecture and adherence to established architecture standards. Data Ware...
Principal Data Architect (DataNetwork/3GPP/RAN/CN/TN/DW/Data Lake). Gather and understand data requirements work in the teamto achieve high quality data ingestion and build systems that canprocess the data transform the data. Deploy integrated data analytics framework(applicationlevel data network a...
Leading SAP SuccessFactors data migration implementations including from SAP HCM to SAP SuccessFactors;. ...
The Lead Algorithm/Data Architect, Artificial Intelligence – (Remote Position) at Beckman Coulter Diagnostics is responsible for executing on an established visionary direction and serve a both as a leader and technical expert, capable of growing into the lead of our Hematology Program. This pivotal...
Are you passionate about transforming financial organizations by uncovering hidden relationships and patterns in billions of data connections? Do you advocate for Graph Database and Analytics tools to solve critical business problems? Do you have experience as an Application Architect or Database Ar...
Knowledgeable on different database and data warehousing systems like MySQL, Amazon Redshift, BigQuery, Teradata. Experienced in working with large data sets, with big data processing tools like Spark. Experience working with large data sets. Our client is looking for a Lead Data Scientist who will...
As a Lead Data Architect, you will be responsible for identifying, designing, and implementing integration solutions with Workday HCM while considering the long-term vision of the product and organizational needs. Proficiency in managing database systems, utilizing ETL tools, and SQL for complex dat...
More traditionally, support the many various data platform and architecture initiatives in next generation solutions in IoT, Big Data, Open Data Platforms, Geospatial, visualization, AI, deep learning while adapting with, to, and address existing data management, workflow, and warehousing to integra...
Use data and insights to inform conclusions and support decision-making. Leading SAP SuccessFactors data migration implementations including from SAP HCM to SAP SuccessFactors;. ...
Specifically, this experience must be in writing Big Data data engineering jobs for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage. Deploy enterprise-ready, secure, and compliant data-oriented so...
Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (, AWS, Azure, GCP), real-time data distribution (, Kafka, Kinesis, DataFlow, Airflow), NoSQL (, MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Sn...
A Data Architect will help drive best practices for storing, modeling, managing, and interacting with data. Understand and architect data solutions for the business, leveraging the tools that have been built for our internal data platform where possible and helping drive requirement for platform enh...
In-depth knowledge of data architecture principles and best practices, including data modeling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large Data Engineering teams to design and build platforms with complex architectures and diverse features including ...
In-depth understanding of Data Governance process – identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards. Collaborate with the governance team to develop strategies for MDM including data pr...
Develop scalable data architectures (warehouses, lakes, databases). Facilitate data exchange, ensure architectural viability, and integrate with existing systems. Keep comprehensive data architecture documentation up to date. Ensure data integrity across systems; assess data management tools. ...