Experience building Spark data processing applications (Python, Pyspark). ...
Experience building Spark data processing applications (Python, Pyspark). ...
Engineering or Licensed Professional Engineer and 5+ years engineering experience. Engineering or Licensed Professional Engineer and 8-10+ years of engineering experience with 5+ years of Power Plant, Industrial, or Manufacturing experience. This Engineering role can be filled at Senior Engineer or ...
It will be responsible for developing and maintaining high-quality code, designing and implementing robust data engineering solutions, designing and developing efficient SQL queries, and designing, building, and maintaining databases. Strong data engineering skills, including ETL and data migrations...
Proven experience in designing and maintaining robust data pipelines that are performant on big data sets. A strong foundation in data modeling, architecture and data warehousing. Passion for staying updated on emerging technologies in data engineering. Hands-on experience with a cloud platform, pre...
In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Align with security, da...
The Data Engineer will report to the Data Science Manager and interact frequently with stakeholders across the company — including product managers and department heads — who rely on data insights for building product features, creating POCs, outlining business strategy, and reporting on progress to...
Performs modeling of data sources and flows, works with data management staff to define an operational framework that will define, develop and implement policies and security frameworks to ensure precise and secure delivery of knowledge and information. Perform modeling of data sources and flows, wo...
Maintain and extend (as required) existing database operations solutions for backups, index defragmentation, data retention, etc. Design, implement, and maintain scalable and high-performance data infrastructure solutions, with a primary focus on data. Support development stages for application deve...
This role is a qualified individual contributor in the data quality space with focus on data quality, controls, validations, some subject matter expertise between the business and IT, general data-related lights on activities and assurance for overall standards and compliance for optimum quality rel...
The Data Engineer Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, relia...
Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Experience handling large and complex sets of data from various sources and databases. Solid grasp of database engineering and design principles. Create and maintain optimal...
The Red Hat Ceph team is looking for experienced, enterprise-level engineers with a background in Ceph, OpenShift Data Foundations and/or software-defined storage (SDS) technologies to join us as a Senior Technical Support Engineer in North America. As a Senior Technical Support Engineer you’ll work...
Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions.We are practitioners of end-to-end business and technology transformation.We tap into an organization’s technology, people, and ...
Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value. If you're excited to work with a tightly...
Design, develop, test and implement database solutions related to optimal data pipeline architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Oracle and Big Data technologies, in accordance with established...
As a Lead Software Engineer on/in Data Management & Governance you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve Data Management and Governance services. Experience in building scalable and stronger data pipelines to support data integra...
Maintain and extend (as required) existing database operations solutions for backups, index defragmentation, data retention, etc. Design, implement, and maintain scalable and high-performance data infrastructure solutions, with a primary focus on data. Support development stages for application deve...
The Data Engineer will participate in the design, build and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows and assist in the development of large-scale data structures and pipelines to organize, collect, and standardize data that helps ge...
This role within the 'Data Engineering & Self-Service Products' team involves architecting and engineering analytic data solutions, including designing and developing data marts in Databricks using PySpark or Spark SQL, building interactive Power BI dashboards to visualize KPIs and trends, and creat...
The Data Engineer will report to the Data Science Manager and interact frequently with stakeholders across the company — including product managers and department heads — who rely on data insights for building product features, creating POCs, outlining business strategy, and reporting on progress to...
Design, develop, test and implement database solutions related to optimal data pipeline architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, in accordance with established standards. Database Administrator, Database...
At least 5 years of hands-on experience with DB2 for i as a database administrator (DBA). Minimum of 3 years of experience with relational database management systems (RDBMS) and OLTP/OLAP concepts. Proven experience managing high-volume, high-velocity application/data environments. ...
Experience in the design and development of cloud data solutions including data lake storage, relational data, semi-structured data, streaming data, and event-driven processing. Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting...