Azure Data Engineer - Franklin, United States - New Age Software Services

Description

We are looking for an ETL resource.

In addition to being able to assist in coding and maintaining our ETL processes, we need this person to be able to design and build data pipelines on-prem and in Azure.

We need this person to be familiar with various security and encryption models, privacy and PII governance, and reporting. Familiarity with Data Governance is a major plus.
Data Engineer
The Data Engineer develops data acquisition, storage, processing, and integration solutions for operational, reporting, and analytical purposes.

He or she will provide support for functional areas such as Life, Accounting, Actuarial, Sales and Marketing, Underwriting, Claims, and IT.

This person is often called upon to generate production data solutions to support new rate analyses, operational reports, integrations with external entities, and new functionality in transactional systems.

The Data Engineer will employ sound data management fundamentals and best practices to transform raw data resources into enterprise assets.

Duties and responsibilities include the following:
Duties and Responsibilities
Design data structures and solutions to support transactional data processing, batch and real-time data movement, and data warehousing
Perform ad-hoc query and analysis on structured and unstructured data from a variety of sources
Develop queries, data marts, and data files to support reporting and analytics efforts in IT and business unit customers.
Recommend and implement data solutions to improve the usage of data assets across the organization
Optimize and operationalize prototype solutions developed by other team members or business analysts.
Participate in the design and development of data services (REST, SOAP, etc.) as needed
Map existing solutions developed in legacy technology to new architecture and implement modernized solutions in target-state technology stack
Perform peer review and occasional QA support for solutions developed by other associates within the Data Management group or other functional areas
Investigate and document current data flow processes between corporate systems, business partners, and downstream data consumers
Create data models and technical metadata using modeling tools such as ER Studio or Erwin
Document and disseminate system interactions and data process flows
Participate in the design and development of target-state analytics ecosystem using traditional and big data tools, as well as a mix of on-premises and cloud infrastructure
Ingest, transform, and store new sources of internal and external data to improve analytical capabilities
Perform mapping of data sources to target data models and outputs
Other duties assigned by management

Qualifications and Requirements
5+ years work experience developing high-performing data systems, adhering to established best-practices
Strong SQL development skills, creating complex queries, views, and stored procedures
Solid understanding of SQL best practices
Experience interfacing with business stakeholders to understand data and analytics needs and deliver solutions
Experience with ETL tools such as SSIS, Azure Data Factory and more
Experience in a variety of data technologies such as SQL Server, DB2, MongoDB
Strong experience with relational data structures, theories, principles, and practices
Experience in Agile Scrum and / or Kanban project management frameworks
Experience in creating data specifications, data catalogs, and process flow diagrams
Good knowledge of applicable data privacy practices and laws
Experience developing REST or SOAP services preferred
Experience developing data solution in cloud infrastructures such as AWS or Azure preferred
Experience working with Power BI preferred
Experience working in a Dev-ops or Data-ops environment preferred

by Jobble

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