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Sr. Data Engineer


This is a Full-time position in Atlanta, GA posted March 28, 2021.

nn Overview: nn nnThe Sr.

Data Engineer will contribute to a new cutting-edge platform delivering complex data engineering solutions within the data environment.

This role will work closely with the Sr.

Data Architect, Digital Solution Architect and other business and information technoloy stake holders to develop and support the key data platforms used in the current digital business transformation.

nn nn nn nnThe Senior Data Engineer will work with a mixture of both traditional and cloud technologies to create and support a strategic data platform supporting both operational and analytical needs.

The ideal candidate should be a fast learner, self-driven, and detail focused.

The candidate should have advanced development knowledge wth Python programming, ETL and Bigdata as well as Azure G2 Data Lake processing.

nn nn n nn nn Responsibilities: nn You will assist in the creation of an Enterprise Reference Data Architecture and the creation and implementation of processes to collect and maintain data assets acrsoss the enterprise.

Assist in the design and implementation of technical and architectural artifacts; logical datamodels, physical data models, data lake structure and architecture, core data flows, and end user data access and use of data Work with Microsoft SQL Server along with complementary new technologies such as Microsoft Azure Data Factory, Data Lake, HDInsight, and other Azure cloud technologies as needed to create end to end solutions.

nn n nn nn Qualifications: nn The ideal canidate should have strong experience in the fields of Python, cloud-based technologies, as well as database technologies.

3+ years’ experience with Python mandatory.

Web and HTML a plus.

Experience interacting with RESTful service APIs.

REST implementation is a plus.

3+ years’ experience with database technologies such as SQL, Vertica, Mongo and/or Elastic Solid experience with big data/cloud-based technologies for example Hadoop, Hive, and Spark; Azure Data Factory, HDInsight, and Databricks Understanding of infrastructure management aspects in cloud environments (Azure or AWS) Experience with visualization and reporting tools for example PowerBI, Domo, Tableau, QlikView 3+ years’ experience with data warehousing architecture concepts and ETL techniques Strong business and data analysis skills and the ability be an evangelist.

5+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools and scripting.

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