Big data jobs in Elizabeth, New Jersey (NJ) State

Basic Qualifications: Bachelor''s Degree At least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 2 years of ...

IT Advisor, Technology Consulting - Data & Analytics (Big Data) (Manager) (Multiple Positions) (1509853), Ernst & Young U. 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 b...

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 ...

...

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

Experience in metadata capture/discovery tools like CKAN a big plus. Experience developing business applications using NoSQL/ SQL databases. Experience in AWS based data environment is a plus. ...

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

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...

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...

We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives. You will be responsible for designing, implementing, and optimizing our Big Data infrastructure to support large-scale data processing and analytics. Implement data governance, security, and comp...

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...

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 ...

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...

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...

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...

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...

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,...

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...

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...

Databricks Certified Data Engineer Professional certification. Understanding of the Databricks platform and developer tools like Apache Spark, Delta Lake, MLflow, and the Databricks CLI and REST API. Knowledge of general data modeling concepts. Ability to ensure that data pipelines are secure, re...

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...