TLNT

The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.. Develop and automate ETL processes using tools like Pyspark, Azure Data Factory, and Databricks to facilitate data extraction and manipulation from diverse sources.. Demonstrate expertise in Azure services and big data technologies, including but not limited to Azure Data Factory, Databricks, and other relevant tools.. Proficiency in a range of key technologies is essential, including Pyspark, Azure Data Factory (ADF), Databricks, big data tools, SQL, and Python.. Skills: pyspark,sql,python,azure,azure data engineer,adf (azure data factory),azure data factory,databricks

data engineer

The Role Requirements We are seeking a highly experienced Senior Data Engineer with 10+ years of expertise in Azure data engineering. This role is responsible for the development and management of data pipelines, data modeling, and supporting organizational data analytics and insights initiatives. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python. Additionally, the Senior Data Engineer will play a critical role in stakeholder management, leading development teams or project teams, guiding design discussions, and taking ownership of deliverables for larger projects. Effective communication skills are essential for understanding and translating functional and technical requirements into practical solutions. The ideal person will: <ul><li>Design, build, and maintain data pipelines in the Azure environment, ensuring smooth operation in both batch and real-time processing. </li><li>Optimize Azure data infrastructure to facilitate accurate data extraction, transformation, and loading from a variety of data sources. </li><li>Develop and automate ETL processes using tools like Pyspark, Azure Data Factory, and Databricks to facilitate data extraction and manipulation from diverse sources. </li><li>Transform raw data stored in Azure Data Warehouses into accessible datasets suitable for both technical and non-technical stakeholders. </li><li>Demonstrate expertise in Azure services and big data technologies, including but not limited to Azure Data Factory, Databricks, and other relevant tools. Proficiency in SQL and Python is also crucial. </li><li>Engage in business discussions, collaborate with stakeholders, and take ownership of deliverables, ensuring that the data engineering solutions align with business objectives. </li><li>Lead development teams or project teams, providing guidance and expertise to ensure the successful execution of data engineering projects. </li><li>Function as an independent developer who can guide design discussions and make informed decisions to drive project success. </li><li>Leverage extensive experience to handle larger projects and manage multiple teams effectively. </li><li>Exhibit excellent communication skills, translating functional and technical requirements into actionable solutions that meet business needs. </li></ul>The Person <ul><li>Minimum of 7 years of hands-on experience in Azure data engineering. </li><li>Proficiency in a range of key technologies is essential, including Pyspark, Azure Data Factory (ADF), Databricks, big data tools, SQL, and Python. </li><li>Should be adept at handling business discussions and be capable of taking ownership of deliverables. </li><li>Effective stakeholder management is crucial, including leading development teams or project teams to ensure successful project outcomes. </li><li>Self-sufficient developer who can provide guidance in design discussions and make informed decisions. </li><li>Demonstrated experience in successfully managing larger projects and multiple teams is a key requirement. </li><li>Excellent communication skills are necessary to understand and bridge the gap between functional and technical requirements, providing practical and effective solutions. </li></ul>Note: Preferred candidates will be in the Dallas or willing to relocate to Dallas, Texas ﻿Our client is an equal opportunity employer, and we celebrate diversity and are committed to creating an inclusive environment for all. Note: This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Skills: pyspark,sql,python,azure,azure data engineer,adf (azure data factory),azure data factory,databricks

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