Role: Azure Data Engineer
Location: Dallas TX Hybrid In Person Interview
Contract
This resource will be working on Azure and ETL - Databricks. Top 3 to 5 skillsets: Agile development Databricks, Python Azure Data Factory Data Validations
Description:
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, ing, 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.
Skills
Mandatory Skills : Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory,Azure Functions,Azure SQL,Azure Synapse Analytics,AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight
Good to Have Skills : Azure SQL
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