Senior Analytics Developer
Salary undisclosed
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Location: Fort Worth, TX
40% onsite
YOE: 7-9 years
This role is a part of the Data Engineering and Analytics team within our Technology group.
YOE: 7-9 years
This role is a part of the Data Engineering and Analytics team within our Technology group.
What you'll do
Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools.
Perform multiple aspects involved in the development lifecycle design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support.
Provide technical leadership and collaborate within a team environment as well as work independently.
Be a part of a DevOps team that completely owns and supports their product
Implement batch and streaming data pipelines using cloud technologies
Senior level experience with data bricks and other analytics tools for moving and transforming data from one platform to another.
Senior level experience with Azure and its services.
Senior level experience in leading others.
Senior level experience in formulating solutions and recognizing problems.
Ability to work with a shift that coincides with the CST time zone.
Ability to work with a geographically dispersed team.
Ability to work with Agile methodologies.
Good written and oral skills.
Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools.
Perform multiple aspects involved in the development lifecycle design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support.
Provide technical leadership and collaborate within a team environment as well as work independently.
Be a part of a DevOps team that completely owns and supports their product
Implement batch and streaming data pipelines using cloud technologies
Senior level experience with data bricks and other analytics tools for moving and transforming data from one platform to another.
Senior level experience with Azure and its services.
Senior level experience in leading others.
Senior level experience in formulating solutions and recognizing problems.
Ability to work with a shift that coincides with the CST time zone.
Ability to work with a geographically dispersed team.
Ability to work with Agile methodologies.
Good written and oral skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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