Lead Data Engineer Onsite

Dear candidate,

My name is Manisha Singh and I am a recruiter at Stellent IT LLC. I am reaching out to you on an exciting job opportunity with one of our clients.

Should you be interested, please send me a copy of your resume in word format along with your LinkedIn URL.

Role: Lead Data Engineer - Onsite

Location: Charlotte, North Carolina

Duration: Full-Time

It is 5 days on site in South Charlotte

Location (City State, Street Name): Charlotte NC 28273

Direct Hire: It is a direct hire position

NOTE: They must have very strong Data Bricks experience using the latest version

Good communication skills

Leading a team of data engineers

Poweer BI and Microstrategy experience highly preferred

Reporting platform will be Power Bi

Key Skills / Words: (at least 6)

Data Engineer

Power BI

Microstrategy

DataBricks

Python

PySpark

Computer science

Information technology

SQL

Position Description (the more details the better)

Lead Data Engineer

Large Healthcare organization is seeking a lead Data Engineer to join their expanding team

This is a Direct hire position in Charlotte NC with a salary range of $130,000 145,000 based on experience with excellent benefits. This is a full onsite position

This is What You'll Do

1. Lead design, development, and optimization of scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake

2. Enhancement of CI/CD pipelines and Azure DevOps, Git, and automated deployment frameworks to streamline development and release processes

3. Ensure data quality and consistency through data integration, transformation, and cleansing

4. Familiarity with security and governance best practices using Unity Catalog, Azure RBAC, managed identities, and data access controls to ensure compliance and secure data management is preferred

5. Responsibility includes leading a team of data engineers and mentoring in best practices.

6. Utilize Python for data manipulation, automation, and custom data solutions

7. Collaborate with stakeholders to understand data needs and translate them into technical solutions

8. Participate in on-call rotation and assist with after-hours issues, as required

9. Perform other duties as assigned

This is What it Takes

1. Bachelor's degree in computer science or information systems science, or equivalent experience

2. Three (3) years experience with Azure Databricks platform

3. Five (5) years of comprehensive data warehouse analysis and design experience, with full knowledge of data warehouse methodologies, data modeling and familiarity with operational data stores.

4. Five (5) years of experience with ETL/ELT Development, Python, PySpark

5. Python, SQL, and Terraform experience

Required Certifications, Licenses, and Registrations

1. Databricks Data Engineer Professional or Databricks Data Engineer Associate Certification preferred

Knowledge, Skills, and Abilities

1. Ability to adapt to changing priorities and respond to problems creatively

2. Ability to assist clients with migrating from legacy to modern data platform

3. Proficiency with technical, conceptual, interpersonal, written, and verbal communication skills

4. Knowledge of general business, quality and regulatory requirements preferred

5. Familiarity with Power BI and MicroStrategy architecture is a plus