Azure Data Engineer 8-11 at Focused HR Solutions Raleigh, NC

Downtown Boulder Partnership; Raleigh (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Downtown Boulder Partnership is seeking an Azure Data Engineer for a 4+ month position in Raleigh, NC. This role is on-site and will involve importing raw data into Azure Cloud, analyzing data, and creating ETL processes. Strong expertise in Azure data services and data engineering is required.

The ideal candidate will have a Bachelor's degree in computer science and proven experience as a data engineer. This position offers a chance to contribute to digital transformation efforts within the organization.

Qualifications

• Proven experience as a data engineer, focusing on data migration, ETL, and data integration.
• Hands-on experience with data warehousing concepts and SQL on Azure.
• Strong problem-solving skills, attention to detail, and effective collaboration in fast-paced environments.

Responsibilities

• Collaborate with teams to analyze and organize raw data import by identifying ETL rules.
• Develop and implement data pipelines and ETL processes.
• Provide technical leadership and mentorship to team members.

Skills

Designing and implementing relational and non-relational databases

Knowledge of data modeling techniques and tools

Hands-on experience with Azure data services

Designing and implementing ETL processes

Proficient in writing complex SQL queries

Knowledge of data security best practices

Setting up monitoring and logging

Optimizing data storage and processing

Scripting in Python or PowerShell

Knowledge of ARM templates

Education

Bachelor’s degree in computer science, Engineering, or related field

Job description

Azure Data Engineer 8-11 job at Focused HR Solutions. Raleigh, NC.

This position is 100% on-site in Raleigh, NC. In-Person Interview REQUIRED on 1st round.

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC.

Description

We are looking for an experienced Data Engineer to join our team. You will use various methods to import raw data into Azure Cloud. You will analyze data and create rules for the ETL process. The import process will also include identifying the business rules and apply them to the files stored in staging area before moving the files to processed area.

The ideal candidate will have a strong background in data engineering, along with expertise in cloud computing. This role offers an exciting opportunity to play a key role in modernizing our technology stack and driving our organization’s digital transformation journey.

Responsibilities

• Collaborate with cross-functional business teams to understand requirements, analyze, and organize raw data import by identifying the ETL rules.
• Identify and apply transformation rules for legacy data migration from mainframe systems to the Azure cloud platform.
• Develop and implement data pipelines, ETL processes, and data integration solutions to facilitate the conversion of data.
• Develop and maintain documentation, best practices, and standards for data engineering processes and procedures.
• Provide technical leadership and mentorship to team members, guiding them in best practices for data engineering and cloud migration projects.
• Explore ways to enhance data quality and reliability.

Requirements

Data Modeling and Database Design

• Proficiency in designing and implementing relational and non-relational databases.
• Knowledge of data modeling techniques and tools.

Azure Data Services

• Deep understanding and hands‑on experience with Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, etc.

ETL (Extract, Transform, Load) Processes

• Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks.
• Knowledge of data integration and transformation techniques.

SQL and T‑SQL

• Proficient in writing complex SQL queries and stored procedures.
• Familiarity with Transact‑SQL (T‑SQL) for managing and querying SQL Server databases.

Data Security and Compliance

• Knowledge of data security best practices and experience implementing security measures for data storage and processing on Azure.
• Awareness of compliance requirements and ability to implement solutions that adhere to NC DPI and DIT regulations.

Data Monitoring and Optimization

• Ability to set up monitoring and logging for data pipelines and databases.
• Skills in optimizing data storage and processing for performance and cost‑effectiveness.

Scripting and Automation

• Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks.
• Knowledge of Azure Resource Manager (ARM) templates for infrastructure as code.
• Additionally, obtaining relevant certifications, such as the Microsoft Certified: Azure Data Engineer Associate, can further validate and enhance these skills.

Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field
• Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
• Hands‑on experience with data warehousing concepts, database technologies (SQL on Azure)
• Strong problem‑solving skills, attention to detail, and the ability to work effectively in a fast‑paced environment.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross‑functional teams and stakeholders.

Required/Desired Skills

• Proficiency in designing and implementing relational and non-relational databases. - Required - 5 Years
• Knowledge of data modeling techniques and tools. - Required - 5 Years
• Hands‑on experience with Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, etc. - Required - 5 Years
• Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks. - Required - 5 Years
• Knowledge of data integration and transformation techniques. - Required - 5 Years
• Proficient in writing complex SQL queries and stored procedures - Required - 5 Years
• Knowledge of data security best practices and experience implementing security measures for data storage and processing on Azure. - Required - 5 Years
• Ability to set up monitoring and logging for data pipelines and databases. - Required - 5 Years
• Skills in optimizing data storage and processing for performance and cost‑effectiveness - Required - 5 Years
• Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks - Required - 5 Years
• Knowledge of Azure Resource Manager (ARM) templates for infrastructure as code - Required - 5 Years