Job Description

Hi,
Hope all is well,

Please revert me with Updated resume if you would like to apply for this contract Position,

100% Remote NICE Data Engineer

6-12 month

They need to have the following experience and it must show on their resume:

5-10 years of experience in Cloud Data Warehouse Architecture, API connector, and ETL development, implementation, and maintenance of Business Intelligence data supply chain solutions. Expertise in Contact Center data extraction and integration - preferably with NICE CXOne ACD experience. Strong data modeling and data architecture skills - preferably with Amazon Redshift, Snowflake, or an equivalent cloud data warehouse. Expert in REST/API ETL processes and development. Experience creating ETL schedules and bash scripts for data load automation. Proficiency in SQL & Python for data extraction, integration, ingestion, and web scraping.

As a Data Engineer, you will be responsible for gathering, interpreting, and analyzing business requirements and use cases, and developing data models, API connections, and ETL scripts from various source systems. Your tasks will include automating data extraction and ETL processes to target environments, conducting data loads and reloads, and performing debugging/QA on these data loads. Additionally, you will engage in data integration, writing efficient SQL queries, and developing/deploying data models that adhere to best practices and quality standards through rigorous unit validation and testing.

Experience with NICE CXOne data extraction and integration is essential and required.

If you thrive in a fast-paced Agile environment and enjoy handling tasks with some ambiguity, we encourage you to apply today.

Qualifications For Success:

BS or BA degree

5-10 years of experience in Cloud Data Warehouse Architecture, API connector & ETL development, implementation, and maintenance of Business Intelligence data supply chain solutions

Full stack developer

Expertise in NICE CXOne data extraction and integration required

Expert at API development

Experience with AWS Lambda, Glue, and other services related to data pipelines and integrations

AWS platform expertise, including Amazon Redshift

Experience creating ETL schedules and bash scripts for data load automation

Strong Data Modeling and Data architecture skills, preferably in Amazon Redshift, Snowflake or an equivalent cloud data warehouse environment

Experience working with NICE inContact/CXone data, including ACD, IVR, Survey/Feedback Manager data sources.

Ability to develop functional data models and perform intensive data validation exercises

Experience with deployment and follow-through to ensure the achievement of results. Capable of working with a high degree of discretion, employing effective customer service and communication methods

Experience translating clients' business needs into comprehensive BI solutions that solve complex data problems

Ability to understand and communicate technical concepts at all user levels

Communication skills with a strong background working directly with coworkers and clientele to identify business objectives and establish requirements

Experience using Python for data extraction, data integration, data ingestion, web scraping, and data mining

Experience with data integration, data modeling

Snowflake data warehouse engineering skills

Data automation processing, data modeling, data monitoring, data governance, data integrity checks

Preferred Qualifications:

AI-powered automated data integration

Data fabric architecture

Knowledge of industry standards and practices in descriptive/predictive analytics and business intelligence data supply chain concepts

Additional Responsibilities:

Create documentation and technical specifications for data model solutions and data governance

Develop procedures, standard processes, and support readiness/training activities to end users

Perform routine maintenance support, troubleshoot reported issues, determine root causes, and implement countermeasures

Execute performance-tuning to achieve optimal performance for near real-time and daily data extraction to target environments

Validate the integration of source data into the target environment

Identify process improvement opportunities

Interface with key business and project team members to facilitate seamless execution of requirements

Analyze and resolve cross-functional data issues

Dedicate to the continuous improvement of the platform by routinely identifying bugs and working with the team to release bug fixes

Develop API connectors, data models, and ETL scripts in a consistent best practices format

Coordinate new requests/changes to ensure accuracy and consistency of data

Monitor and troubleshoot escalated support tickets

Thanks & Regards

Akhilesh@dmsvisions.com
972-645-0322, 110

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