Data Engineer

Role:Lead Data Engineer

Location:Hybrid 3 times a week in Roseland, NJ Duration:12 month contract

Must haves: AWS Databricks Lead experience- this can be supplemented for staff as well Python Pyspark Contact Center Experience is a nice to have

TO SUCCEED IN THIS ROLE: Ability to define and design complex data integration solutions with general direction and stakeholder access. Capability to work independently and as part of a global, multi-faceted data warehousing and analytics team. Advanced knowledge of cloud-based data engineering and data warehousing solutions, especially AWS, Databricks, and/or Snowflake. Highly skilled in RDBMS platforms such as Oracle, SQLServer. Familiarity with NoSQL DB platforms like MongoDB. Understanding of data modeling and data engineering, including SQL and Python. Strong understanding of data quality, compliance, governance and security. Proficiency in languages such as Python, SQL, and PySpark. Experience in building data ingestion pipelines for structured and unstructured data for storage and optimal retrieval. Ability to design and develop scalable data pipelines. Knowledge of cloud-based and on-prem contact center technologies such as Salesforce.com, ServiceNow, Oracle CRM, Genesys Cloud, Genesys InfoMart, Calabrio Voice Recording, Nuance Voice Biometrics, IBM Chatbot, etc., is highly desirable. Experience with code repository and project tools such as GitHub, JIRA, and Confluence.

Data Engineer Requirements: Bachelor's degree in computer science, information technology, or a similar field. 8+ years of experience integrating and transforming contact center data into standard, consumption- ready data sets incorporating standardized KPIs, supporting metrics, attributes, and enterprise hierarchies. Expertise in designing and deploying data integration solutions using web services with client-driven workflows and subscription features. Knowledge of mathematical foundations and statistical analysis.