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