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Data Engineer at Digital Intelligence Systems, LLC

Posted in Engineering 30+ days ago.

Location: Iselin, New Jersey





Job Description:


JOB DESCRIPTION



Hadoop Developer / Data Engineer / Big Data Engineer

Iselin, NJ 08830 - Onsite 1 Day a Week!

12 + Months



At least 1 day onsite a week



Requirements:

Under the leadership of the Data Management and Analytics organization, Data Engineer is responsible for delivering data warehouse, data lake ingestion, .NET Web applications and business intelligence solutions.

The main function of this role is serving as senior technical person for coding, debugging, testing, documenting, and implementing Data as a Service (DaaS) environments, and maintenance/enhancement to existing data lake environments.



Responsibilities:

Design, develop, and test enhancements to Data Warehouse on SQL Server

Design, develop, and test enhancements to Data Lake environment in AWS

Design, develop, and test enhancements to In-House C# Web applications

Work with complex Data modeling and design patterns for BI/Analytics reporting requirements.

Serve as senior technical person for data solutions and architectures in relation to storage, governance, quality, cleansing and distribution.

Design the infrastructure and reusable processes for optimal execution of data transformation.

Facilitate the evaluation and selection of data toolsets required to achieve business objectives.

Provide design decisions around data warehouse solutions that involve multiple disparate business systems.

Ensure quality level of documentation is produced and maintained in regard to data solution architecture



Education/ Experience:

Bachelor's Degree in Computer Science or related field.

7+ years of overall experience

4+ years' experience in a data engineering environment, report automation, batch and real time processing

2+ years' experience in C#. .NET environment

4+ years' experience in SQL Server environment

Current Hands on SQL experience

Experience working in an Agile/Scrum environment

Background in banking and financial services industry



Strong data skills required:

SQL, ETL/ELT and MDM

AWS Data Lakes related skills Hadoop, HDFS, S3, EMR, Hive

Familiarity with Linux Shell Scripting

AWS Certified is a plus

MUST have strong SQL experience


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