Job Description

Azure Data Engineer

Location: Dallas, TX

Job Type: Contract

Note: F2F interview is Mandatory

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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