Azure Data Engineer

3 weeks ago

Franklin, United States New Age Software Services Full time

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

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