Data Engineer

Location Desired: New Jersey or Remote

Location Option: Virtual Home Office with occasional travel to client sites

Data Engineer:

As a Data Engineer you will work hands-on with some of the most innovative clients and use cases. Leveraging your extensive expertise, you will be a leader for Bardess, bringing value to our clients by designing and guiding the implementation of cutting-edge Data Warehouse Solutions, Ingesting source data from a wide variety of platforms and creating Data Pipelines to bring it all together.

Data Engineer activities include but are not limited to:

· Analyze, assess and implement data processes, perform gap analysis and identify data quality issues and performance issues within those processes

· Organize disparate data sources into single data models and implement pipelines to realize that model.

· Integrate 3rd party sources such as SAP, Salesforce, and other CRMs into the clients’ data warehouse.

· In some cases, design the data warehouse from scratch, on other cases optimize and grow current warehouse implementations.

· Worked on multiple platforms such AWS, Azure, IBM Cloud, Google, Windows and Linux

· Develop creative solutions for client problems.

· Establish positive relationships with customers (internal and external)

· Identify customer needs and work collaboratively to address requirements

· Identification, evaluation, and proposal of solutions to identified process, performance, and data quality issues.

· Validation of solutions by testing programs and manual assessments.

· Implementation of solutions, including training and support of client personnel.

· Work with Bardess and Client leadership to identify innovative uses cases to grow involvement with the customer.

Requirements and Qualifications for Data Engineer:

Technical Skills Required:

· Significant experience developing Data Pipelines applications a must

· Very strong data modelling, working with CDC, Batch Loading, ETL, and ELT

· Experience with Talend and other Qlik data integration tools a plus

· Experience with various Pipeline tools such as Alteryx, dbt, Knime a plus

· Exposure to data science capabilities a plus

· 3-5 years database development experience a must, some of which should be data warehouse focused

· Experience optimizing and improving existing pipelines

· Advanced SQL experience required.

· Python development, especially for ingestion processes a plus

· Experience working with data from ERP software such as SAP or Oracle, or CRM software preferred

· Experience working with various corporate information security policies

Business/Data Management Skills Required:

· Experience with Data Engineering tools assessing data quality and developing remediation plans

· Strong communications (verbal and written) and decision-making skills required, with a heavy emphasis on daily client interactions.

· Diplomatic problem solver who can work closely with client stakeholders to understand internal impact across the client for potential solutions.

· Time management and organizational skills a must for multi-task environment

· Ability to track project progress and communicate deliverable development milestones while ensuring quality

Self-directed with proven ability to escalate issues when necessary.

Education:

· BA/BS Degree (MBA a plus) with 3-5 years' applicable business experien