Lead Data Engineer

Location: Roseland, NJ



Duration: Contract



Must have skills: Databricks- Skilled in building data pipelines



AWS- Experienced in AWS services related to data migration



Pyspark- proficient in pythodor pyspark to build data ingestion for structured and unstructured data






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.

Working experience with CI/CD (Continuous Integration & Continuous Deployment) process, with hands-on expertise in Jenkins, Terraform, Splunk, and Dynatrace.

Highly innovative with an aptitude for foresight, systems thinking, and design thinking, with a bias towards simplifying processes.

Detail-oriented with strong analytical, problem-solving, and organizational skills.

Ability to clearly communicate with both technical and business teams.

Knowledge of Informatica PowerCenter, Data Quality, and Data Catalog is a plus.

Knowledge of Agile development methodologies is a plus.

Having a Databricks data engineer associate certification is a plus but not mandatory.








Data Engineer Requirements:





Bachelor's degree in computer science, information technology, or a similar field.

10 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.

Strong interpersonal skills.

Excellent communication and presentation skills.

Advanced troubleshooting skills

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