BIG Data Engineer Jobs Near Jersey City, NJ

Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insig...

Work with Big Data/Hadoop architecture and related technologies, Spark – RDDs, Datasets, Dataframes, Spark SQL, and streaming technologies such Spark Streaming and Kafka...

Familiarity with the latest OSS, cloud, container, query and database technologies as well as query languages.

Core member of the D&A data integration team in building the Data Lake to enable the advanced analytical capabilities on Customer Analytics, AI capabilities around Planning and Forecasting...

The Enterprise Functions Technology (EFT) group provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations business...

The successful candidate will participate in the design and build of S&P Ratings cloud based analytics platform to help develop and deploy advanced analytics/machine learning solutions...

Architect end to end solutions for multi-layered applications across a heterogenous technology stack.

Create and maintain automated tests to ensure quality and save time. Help set technical standards and best practices for the platform team. Assist in issue remediation of application errors, availabil...

Design, pilot Big Data & Analytics data models and algorithms with optimal performance and ease of maintenance.

Serve as the Data expert together with your Technical Account Manager and Solution Architect team members when designing and implementing our most complex accounts solutions...

Recommend solutions that best align with our product and business goals, as well as the quality, reliability, and secure storage and replication of our data...

Work closely with various cross-functional stakeholders such as e-commerce, performance marketing, content, technology, product and advertising to capture the data needed to drive business decisions...

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies...

Work with our Data Science team to lay the foundation for AI & ML model building, release, and management

The Data Engineers will develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions; you might spend a few weeks with a new client on a deep techn...

Organizations to modernize and migrate their legacy data infrastructure from on-premise to cloud. Companies can focus on long-term cost saving, achieving speed and scale in their business functions an...

Create and maintain optimal data pipeline architecture

Manage data pipelines from disparate sources, standardizing and feeding them into our centralized data warehouse. Work with both the Engineering and Analytics & Data Science teams to optimize data flo...

Proven track record of success directing the efforts of data engineers and business analysts within a deadline-driven and fast-paced environment.

Build event and batch driven ingestion systems for stand-alone software products, machine learning R&D, and API services.

Our tools and services enable our group to scale and avoid blocking others. We reduce data redundancy by creating systems and datasets that serve as sources of record...

Develop data orchestration pipelines, data sourcing, cleansing, and augmentation and quality. Ability to maintain/troubleshoot systems by working with IT and end users to resolve support incidents rel...

Owning the handover of the customer from the Implementation team, once the platform has been deployed, and be responsible for successfully transitioning them into the Delivery Team...

You take pride in enabling the best work of others on the team. You think ahead to anticipate the needs of your teammates and you give and get all the facts making it easy for others to make decisions...

Solutions to process the data with performance optimization and time improvements. Continuous improvements to reliability, quality and efficiency of the data...