Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Azure Data Engineer (Python/SQL) in [United States].

As an Azure Data Engineer, you will design, develop, and maintain scalable data pipelines and analytics solutions in a cloud-based environment. You will collaborate with cross-functional teams to transform raw data into actionable insights, ensuring high-quality, efficient data flow. This role requires expertise in Python, SQL, and Azure services to implement and optimize data solutions. You will contribute to enterprise-wide data initiatives, support testing and documentation, and help establish best practices for performance and maintenance. The position offers a collaborative environment with opportunities to become a subject matter expert while working on innovative data projects that impact business decisions. Strong problem-solving, communication, and technical skills are key to your success in this role.

Accountabilities

• Create and maintain data pipelines leveraging existing data ingestion frameworks and tools.
• Orchestrate pipelines using Azure Data Factory and related services.
• Develop and enhance data transformations to load data into Enterprise Data Lake, Delta Lake, and Synapse Analytics.
• Perform unit testing, coordinate integration testing, and support user acceptance testing (UAT).
• Produce high-level designs, detailed documentation, and runbooks for data pipelines.
• Configure compute resources, enforce data quality rules, and optimize performance.
• Collaborate with teams to ensure seamless data integration and governance across projects.

Requirements

• Minimum 3 years of experience with Databricks Data Engineering, DLT, Azure Data Factory, SQL, PySpark, Synapse Dedicated SQL Pool, Azure DevOps, and Python.
• Preferred: experience with Azure Function Apps, Azure Logic Apps, COSMOS DB, and advanced PySpark.
• Advanced proficiency in Microsoft Azure Databricks, Azure DevOps, Databricks Delta Live Tables, and Azure Data Factory.
• Bachelor’s or Associate’s degree in a relevant field.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to work independently and manage multiple tasks simultaneously.
• Excellent written and verbal communication skills for cross-team collaboration.

Benefits

• Competitive salary, depending on location, role, and experience.
• Local project-based work with flexibility and reduced travel requirements.
• Access to comprehensive healthcare, retirement, and wellness programs.
• Learning resources and professional development opportunities.
• Exposure to innovative data projects and cutting-edge cloud technologies.
• Supportive and inclusive workplace environment fostering growth and collaboration.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps are then made by their internal hiring team.

Thank you for your interest!

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