Description

We are seeking applicants with strong SQL knowledge, practical data engineering experience, and the communication skills to connect technical solutions with business needs.

What you will be doing:

• Design, implement, and maintain cloud-based data pipelines that support the efficient ingestion, storage, processing, and analysis of large volumes of data.
• Partner with data engineers, analytics teams, and business stakeholders to understand requirements and translate them into scalable, reliable, and maintainable technical solutions.
• Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
• Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability, performance, extensibility, cost, security, and operational support.
• Integrate data from multiple disparate sources while maintaining data quality, integrity, accuracy, and timeliness.
• Design and optimize data storage and processing solutions, including data lakes, data warehouses, data marts, Azure SQL, and Spark-based workflows.
• Perform all responsibilities in accordance with company policies, procedures, security requirements, and internal controls.

What you will likely bring:

• 2–3+ years’ experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
• Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
• Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
• Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
• Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.
• Ability to work independently, take ownership of assignments, and collaborate effectively as a positive and proactive team member.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.

What could set you apart:

• Experience with Microsoft Azure, Azure SQL, Azure Data Lake, Azure data warehousing services, or other cloud-native data technologies.
• Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies.
• Exposure to AI-enabled solution development using services or platforms such as Azure AI, generative AI application programming interfaces, or Hugging Face.
• Experience creating internal automation tools, chatbots, agents, or other solutions that improve productivity for business users.

Key Skills

Education

Any Graduate