Data Engineer --East Hanover, NJ

C4 Technical Services; East Hanover (NJ); Hybrid; USD 83,000 - 152,000; Full time

Job summary

C4 Technical Services is seeking a Data Engineer on a contract basis for 3 months in East Hanover, NJ. This hybrid role focuses on designing and operationalizing data and analytical models to drive long-term business results.

You will partner with analytics teams to gather requirements, develop data products, and implement data pipelines, models, and governance processes. A strong foundation in ETL, data warehousing, and BI tooling is essential.

Qualifications

• Bachelor's degree in a related field and relevant data engineering experience.
• Experience with ETL, data pipelines, and data modeling.
• Experience with SAP and diverse data sources in analytics projects.
• Ability to communicate complex concepts to non-technical audiences.

Responsibilities

• Partner with MDS to ensure data accessibility, retrievability, security and protection of data.
• Collaborate with Product Owners, BI Developers and Business Leads to gather requirements and drive improvements.
• Develop UAT and SIT test cases based on data product requirements.
• Support scoping, building, testing, and maintaining data pipelines and datasets.
• Build and maintain data models and reconcile multiple source models into a single logical model.
• Analyze data sources for integrity, completeness and accuracy.
• Participate in data governance and document for reusability by the business.
• Understand data and metadata to support retrieval, analysis, and interpretation.

Skills

Data engineering concepts

Communication

Requirements analysis

Cloud knowledge

Education

Bachelor's degree in Computer Science

Tools

SAP

Alteryx

Power BI

Tableau

Azure

GCP

CI/CD

Job description

Role:Data Engineer
Type:Contract (3 months), Hybrid
Location:East Hanover, NJ (Hybrid)

Job Description

Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical models to drive long-term business results.

You will:

• Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
• Parter with Product Owners, BI Developers and Business Leads to conduct business requirement gathering & continuous improvement sessions to support the business and understand requirements for analytical projects and develop necessary requirement documents and acceptance criteria to support their development in line with process guidelines
• Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases based off analytical data product requirements.
• Support for scoping, building, testing, and maintaining transport/data pipelines and retrieving applicable data sets for specific use cases.
• Support building, testing, and maintaining data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
• Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
• Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
• Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation.

What you will bring

• Understanding of Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products.
• Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration.
• Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).
• Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience.

More about this role

• Cloud computing technologies (Azure, GCP)
• Experience with CI/CD, DevOps, and DataOps techniques.
• Experience with ETL, Data pipelines and architecture
• Technical Documentation
• Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.
• Data quality and profiling methods

Education / Certifications:

• Bachelor’s degree in a related field. BS Computer Science, Information Systems, etc.