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ETL DATA ENGINEER - USC only - PA at Remote, Remote, USA
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KPG99

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ETL Data Engineer

USC only

Data Engineer/Visualization Opportunity for a pharmaceutical organization in the King of Prussia, PA area. However this role can be mostly (95%+) remote.

Mid-Atlantic technology consulting firm and Managed Services provider located just outside Philadelphia, is looking for a Data Engineer to join our team!

*Job Summary*

The Data Engineering Team is a part of the Modeling and Data Sciences technology organization. This team supports key initiatives and improves the competitiveness and operational efficiencies in our existing and next-generation offerings by developing digital solutions and technologies in condition monitoring, reliability/risk modeling, dynamic modeling, IIoT, and new technology development & evaluation. This team works in close collaboration with the Engineering, Technology, and Operational teams to deliver competitive world-leading solutions. The position will be on the technical ladder where the incumbent will be provided with learning and advancement opportunities focusing on long-term career growth and success.

*Responsibilities:*

* Data Modeling & strong analytics and problem-solving skills.

* Develop and manage effective working relationships with other departments, groups, and personnel with whom work must be coordinated or interfaced

* Efficiently communicate with ETL architect while understanding the requirements and business process knowledge in order to transform the data in a way thats geared towards the needs of end users

* Assist in the overall architecture of the ETL Design, and proactively provide inputs in designing, implementing, and automating data strategies

* Investigate and mine data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions

* Build data pipelines and data flows in and out of the data storage using Azure Data Factory.

* Solution and design data delivery mechanisms using Azure Synapse, Azure Storage and Azure SQL Server databases.

* Responsible for documenting the implementations, and test cases as well as responsible for building deployment documents needed for CI/CD.

* Familiarity with data visualization tools (e.g. Power BI, Qlik Sense etc.)

* Ability to identify data bottlenecks and provide solutions.

*Required Experience:*

* Bachelors degree or equivalent work experience

* 5+ years of experience in data warehousing concepts, ETL concepts, and working with ETL/Data quality tools on any ETL platform

* 5+ years of experience in writing complex SQL queries, stored procedures and performance tuning

* 5+ years of experience working with robust analytical models that are critical to business operations in a hands-on role that is responsible for the processing and prepping of the data leveraged by the models.

* Strong experience in automating data processing jobs with Python.

* Strong experience in leveraging data processing tools, optimizing queries and advanced SQL scripting

* Ability to leverage command line utilities as needed and able to utilize on premise and cloud environments.

* 5+ years of experience with Microsoft Azure cloud services and data warehouse environment

* 5+ years of experience with building, deploying, and troubleshooting data extraction and loading pipelines (ETL) using Azure Data Factory (ADF)

* 5+ years analyzing and executing data profiles.

*Preferred Experience:*

* Azure Certification in database and data engineer roles

* 1+ years of experience developing a data solution on Snowflake Data Warehouse using snowflake continuous data pipelines with Snowpipe, Streams and Tasks

* Familiar with R programming and Data Science concepts.

* Familiar with data orchestration tools.

Keywords: continuous integration continuous deployment business intelligence rlang Pennsylvania
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Tue Feb 07 03:37:00 UTC 2023

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