Azure Data Engineer

INSPYR Solutions; Houston (TX); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking company as an Azure Data Engineer, where your expertise in building scalable data solutions will be valued. This role involves leveraging Azure Data Lake Storage and Azure Synapse to create robust data pipelines and models. You will be instrumental in enhancing the Corporate Analytics Platform, contributing to innovative data engineering practices, and ensuring data governance and security. If you are passionate about data engineering and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 3+ years experience in Azure Data Lake Storage and Azure Synapse.
• Strong understanding of Identity Management and Data Governance.

Responsibilities

• Build scalable data processing solutions using Azure technologies.
• Manage cloud-based data ecosystems and optimize data pipelines.

Skills

Data Pipelines

Data Models

MS Fabric

Azure Synapse

Azure Data Lake Storage

Oracle PL/SQL

T-SQL

Python

PySpark

Education

Bachelor's degree

Tools

Azure DevOps

Azure Data Lake Storage

Azure Synapse

MS Fabric

Job description

Title: Azure Data Engineer

Location: Houston, TX 77024 (Hybrid: 3 days onsite / 2 days remote)

Duration: Direct Hire

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Job Description

Seeking an Azure Data Engineer with 3+ years of experience in building scalable distributed data processing solutions using Azure Data Lake Storage and Azure Synapse Data Warehouse. Must have a strong understanding of Identity Management, Security, Data Governance, DevOps, and Operations on Azure. Proficiency in managing data models, PySpark, Python, data pipelines, resolving data load failures, and optimizing ML Spark jobs for performance is essential.

Skills and Abilities

• Build and manage Data Pipelines
• Build and manage data models
• Experience with MS Fabric, Azure Synapse, Data Factory
• Azure Data Lake Storage / ADLS Gen2
• Oracle PL/SQL, T-SQL (Queries, Functions, Stored Procedures)
• Python and PySpark

Knowledge

• Python, PySpark
• Azure DevOps
• AI/ML (nice to have)

Minimum Education and Certification

• Bachelor's degree

Minimum Experience

• 3+ years in IT and Data Warehouse

Leadership

• Customer-focused with motivation to develop data engineering platforms
• Contribute to evolving the Corporate Analytics Platform
• Manage a growing cloud-based data ecosystem

Problem Solving and Innovation

• Define and create complex data models for insights and predictions
• Identify opportunities and suggest innovations to improve teamwork, efficiency, and quality

This description summarizes essential functions and is not a contract. Employees are expected to perform tasks as assigned regardless of job title.

Qualifications

• 3+ years experience with Azure Data Lake Storage and Azure Synapse Data Warehouse, understanding related functionalities including Identity Management, Security, Data Governance, DevOps, and Operations.
• Expertise in managing data models, PySpark, Python code, data pipelines, and optimizing ML Spark jobs for performance.

About INSPYR Solutions

We focus on technology and quality, providing tailored professional services, projects, and talent solutions. Learn more at inspyrsolutions.com.

INSPYR Solutions is an Equal Opportunity Employer, complying with all applicable laws.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Industrial Machinery Manufacturing and Oil and Gas