Cloud Data Engineer (On-Site / Tulsa, OK)

Are you a problem-solver with a passion for working in the cloud? We are looking for a Cloud Data Engineer who thrives in a fast-paced, collaborative environment and is eager to design scalable, cloud-based data solutions to support growing business needs. If you want to make an impact by leveraging Azure and Databricks to optimize data processes, we want to hear from you!

Key Responsibilities:

• Lead the creation of data pipelines from start to finish, connecting disparate systems and enabling the seamless flow of information.
• Architect and deploy cloud-based data solutions that optimize both performance and cost, using Azure and Databricks technologies.
• Work with a dynamic team to ensure the seamless integration of data sources, performing data transformation, cleaning, and analysis for real-time decision-making.
• Ensure high data quality and maintainability across all deployed solutions, solving performance issues and ensuring data integrity.
• Act as a technical resource for other team members and stakeholders, helping to guide them through complex data engineering challenges.

What You'll Be Working With:

• Strong experience with Databricks and Azure Synapse for designing and maintaining large-scale data pipelines.
• Expertise in Python, PySpark, and SQL to develop efficient data transformations and manage large datasets.
• Utilization of Azure Data Factory and SSIS for end-to-end data pipeline management.
• Integration of Azure DevOps to ensure streamlined code development and deployment.

What We're Looking For:

• 3+ years of hands-on experience with cloud data engineering, specifically in Azure environments.
• Strong understanding of cloud architecture and best practices for building scalable and secure data systems.
• Knowledge of modern data processing frameworks and languages (e.g., Databricks, Python, PySpark).
• A proactive, solution-oriented mindset with excellent problem-solving abilities.
• Strong communication skills with the ability to interact effectively with business leaders, developers, and data scientists.

If you're a self-starter looking to take the lead on exciting cloud-based data projects and make an immediate impact, apply now!

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.

Are you a problem-solver with a passion for working in the cloud? We are looking for a Cloud Data Engineer who thrives in a fast-paced, collaborative environment and is eager to design scalable, cloud-based data solutions to support growing business needs. If you want to make an impact by leveraging Azure and Databricks to optimize data processes, we want to hear from you!

Key Responsibilities:

• Lead the creation of data pipelines from start to finish, connecting disparate systems and enabling the seamless flow of information.
• Architect and deploy cloud-based data solutions that optimize both performance and cost, using Azure and Databricks technologies.
• Work with a dynamic team to ensure the seamless integration of data sources, performing data transformation, cleaning, and analysis for real-time decision-making.
• Ensure high data quality and maintainability across all deployed solutions, solving performance issues and ensuring data integrity.
• Act as a technical resource for other team members and stakeholders, helping to guide them through complex data engineering challenges.

What You'll Be Working With:

• Strong experience with Databricks and Azure Synapse for designing and maintaining large-scale data pipelines.
• Expertise in Python, PySpark, and SQL to develop efficient data transformations and manage large datasets.
• Utilization of Azure Data Factory and SSIS for end-to-end data pipeline management.
• Integration of Azure DevOps to ensure streamlined code development and deployment.

What We're Looking For:

• 3+ years of hands-on experience with cloud data engineering, specifically in Azure environments.
• Strong understanding of cloud architecture and best practices for building scalable and secure data systems.
• Knowledge of modern data processing frameworks and languages (e.g., Databricks, Python, PySpark).
• A proactive, solution-oriented mindset with excellent problem-solving abilities.
• Strong communication skills with the ability to interact effectively with business leaders, developers, and data scientists.

If you're a self-starter looking to take the lead on exciting cloud-based data projects and make an immediate impact, apply now!

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.