Big data jobs in Fort Lee, New Jersey (NJ) State

Significant experience in data analysis using SQL + excel and creating data mappings, including source, target, and transformations. Financial Domain: Banking, Reference Data, Traded Products. ...

IT experience and minimum 5+ years of experience in Cloud native/Big Data development. Experience in executing Spark code using Databricks framework. ...

Must have hands-on experiences in migrating from standard relational database to non-relational databases leveraging Big Data stack and alternate mechanisms like HDFS, Spark, Neo4j, Snowflake, Airflow, etc. Stay current with industry trends and emerging technologies in both traditional databases ...

Hands-on experience in migrating from standard relational database to non-relational databases leveraging Big Data stack and alternate mechanisms like HDFS, Spark, Neo4j, Snowflake, Airflow, etc. Stay current with industry trends and emerging technologies in both traditional databases and big dat...

Role: Senior Big Data /Scala Developer. ...

Data analysis using distributed computing and Big Data platforms such as Apache Hadoop. Develop data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Collaborate with team members to collect and analyze large data sets. Use graphs, infograph...

Support the Bank's Data Management Program by providing support for data owners and stewards relating to data quality. Act as liaison to project manager and Data Management Office ( "DMO”) for data related efforts in support of projects, work efforts and DMO requirements for data quality / metric...

Software solutions from this group include high-throughput feed processing engines to process factor sensitivities and market data, high-performance pricing calculation engines that run on compute grids as well as large in-memory servers to calculate Value at Risk (VaR), Stress Testing and limit ...

Design, architect, and develop solutions leveraging big data technology (Open Source, AWS, or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements. Provide clients with a unique business perspective on how Big Data analytics can transform and improv...

Must have hands-on experiences in migrating from standard relational database to non-relational databases leveraging Big Data stack and alternate mechanisms like HDFS, Spark, Neoj, Snowflake, Airflow, etc. Stay current with industry trends and emerging technologies in both traditional databases a...

Job responsibilities • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems • Creates secure and high-quality production code and maintains algo...

Hands-on experience in migrating from standard relational database to non-relational databases leveraging Big Data stack and alternate mechanisms like HDFS, Spark, Neo4j, Snowflake, Airflow, etc. Stay current with industry trends and emerging technologies in both traditional databases and big dat...

Significant experience in data analysis using SQL + excel and creating data mappings, including source, target, and transformations. Financial Domain: Banking, Reference Data, Traded Products. ...

Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and sys...

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,...

Experience in AWS/Big Data is a big plus. Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development. Experience in developing, debugging, and maintaining code in a large corpor...

Data analysis using distributed computing and Big Data platforms such as Apache Hadoop. Develop data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Collaborate with team members to collect and analyze large data sets. Use graphs, infograph...

The ideal candidate will have an eye for building and optimizing data systems and will work closely with our systems architects, data scientists, and analysts to help direct the flow of data within the pipeline and ensure consistency of data delivery and utilization across multiple projects. Mark...

IT Advisor, Technology Consulting - Data & Analytics (Big Data) (Manager) (Multiple Positions) (1509853), Ernst & Young LLP, Hoboken, NJ. Design, architect, and develop solutions leveraging big data technology (Open Source, AWS, or Microsoft) to ingest, process and analyze large, disparate data s...

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hy...

Work on complex problems ranging from mathematical proofs to big data processes to fueling research with blockchain, financial, and gaming metrics. * We are looking for someone with a curiosity for ...

Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer

Proficient with one or more big data & new data technologies such as DBT, Apache NiFi, Airflow, Kafka * Knowledge in working with time-series/analytics databases such as Elasticsearch * Understanding ...

Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake * Demonstrated experience with the deployment of Databricks on cloud platforms, including ...